diff options
Diffstat (limited to 'gnuradio-examples/python/pfb')
| -rw-r--r-- | gnuradio-examples/python/pfb/CMakeLists.txt | 36 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/channelize.py | 191 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/chirp_channelize.py | 203 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/decimate.py | 178 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/fmtest.py | 225 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/interpolate.py | 233 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/reconstruction.py | 131 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/resampler.py | 127 | ||||
| -rw-r--r-- | gnuradio-examples/python/pfb/resampler_demo.grc | 598 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/synth_filter.py | 83 | ||||
| -rwxr-xr-x | gnuradio-examples/python/pfb/synth_to_chan.py | 117 |
11 files changed, 0 insertions, 2122 deletions
diff --git a/gnuradio-examples/python/pfb/CMakeLists.txt b/gnuradio-examples/python/pfb/CMakeLists.txt deleted file mode 100644 index 88fdf2ead..000000000 --- a/gnuradio-examples/python/pfb/CMakeLists.txt +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright 2011 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. - -include(GrPython) - -GR_PYTHON_INSTALL(PROGRAMS - channelize.py - chirp_channelize.py - decimate.py - fmtest.py - interpolate.py - resampler_demo.grc - resampler.py - synth_filter.py - synth_to_chan.py - reconstruction.py - DESTINATION ${GR_PKG_DATA_DIR}/examples/pfb - COMPONENT "gnuradio_examples" -) - diff --git a/gnuradio-examples/python/pfb/channelize.py b/gnuradio-examples/python/pfb/channelize.py deleted file mode 100755 index 2fcb14a36..000000000 --- a/gnuradio-examples/python/pfb/channelize.py +++ /dev/null @@ -1,191 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2009 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys, time - -try: - import scipy - from scipy import fftpack -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab - from pylab import mlab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - -class pfb_top_block(gr.top_block): - def __init__(self): - gr.top_block.__init__(self) - - self._N = 2000000 # number of samples to use - self._fs = 9000 # initial sampling rate - self._M = 9 # Number of channels to channelize - - # Create a set of taps for the PFB channelizer - self._taps = gr.firdes.low_pass_2(1, self._fs, 475.50, 50, - attenuation_dB=100, window=gr.firdes.WIN_BLACKMAN_hARRIS) - - # Calculate the number of taps per channel for our own information - tpc = scipy.ceil(float(len(self._taps)) / float(self._M)) - print "Number of taps: ", len(self._taps) - print "Number of channels: ", self._M - print "Taps per channel: ", tpc - - # Create a set of signals at different frequencies - # freqs lists the frequencies of the signals that get stored - # in the list "signals", which then get summed together - self.signals = list() - self.add = gr.add_cc() - freqs = [-4070, -3050, -2030, -1010, 10, 1020, 2040, 3060, 4080] - for i in xrange(len(freqs)): - self.signals.append(gr.sig_source_c(self._fs, gr.GR_SIN_WAVE, freqs[i], 1)) - self.connect(self.signals[i], (self.add,i)) - - self.head = gr.head(gr.sizeof_gr_complex, self._N) - - # Construct the channelizer filter - self.pfb = blks2.pfb_channelizer_ccf(self._M, self._taps, 1) - - # Construct a vector sink for the input signal to the channelizer - self.snk_i = gr.vector_sink_c() - - # Connect the blocks - self.connect(self.add, self.head, self.pfb) - self.connect(self.add, self.snk_i) - - # Use this to play with the channel mapping - #self.pfb.set_channel_map([5,6,7,8,0,1,2,3,4]) - - # Create a vector sink for each of M output channels of the filter and connect it - self.snks = list() - for i in xrange(self._M): - self.snks.append(gr.vector_sink_c()) - self.connect((self.pfb, i), self.snks[i]) - - -def main(): - tstart = time.time() - - tb = pfb_top_block() - tb.run() - - tend = time.time() - print "Run time: %f" % (tend - tstart) - - if 1: - fig_in = pylab.figure(1, figsize=(16,9), facecolor="w") - fig1 = pylab.figure(2, figsize=(16,9), facecolor="w") - fig2 = pylab.figure(3, figsize=(16,9), facecolor="w") - - Ns = 1000 - Ne = 10000 - - fftlen = 8192 - winfunc = scipy.blackman - fs = tb._fs - - # Plot the input signal on its own figure - d = tb.snk_i.data()[Ns:Ne] - spin_f = fig_in.add_subplot(2, 1, 1) - - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_in = 10.0*scipy.log10(abs(X)) - f_in = scipy.arange(-fs/2.0, fs/2.0, fs/float(X_in.size)) - pin_f = spin_f.plot(f_in, X_in, "b") - spin_f.set_xlim([min(f_in), max(f_in)+1]) - spin_f.set_ylim([-200.0, 50.0]) - - spin_f.set_title("Input Signal", weight="bold") - spin_f.set_xlabel("Frequency (Hz)") - spin_f.set_ylabel("Power (dBW)") - - - Ts = 1.0/fs - Tmax = len(d)*Ts - - t_in = scipy.arange(0, Tmax, Ts) - x_in = scipy.array(d) - spin_t = fig_in.add_subplot(2, 1, 2) - pin_t = spin_t.plot(t_in, x_in.real, "b") - pin_t = spin_t.plot(t_in, x_in.imag, "r") - - spin_t.set_xlabel("Time (s)") - spin_t.set_ylabel("Amplitude") - - Ncols = int(scipy.floor(scipy.sqrt(tb._M))) - Nrows = int(scipy.floor(tb._M / Ncols)) - if(tb._M % Ncols != 0): - Nrows += 1 - - # Plot each of the channels outputs. Frequencies on Figure 2 and - # time signals on Figure 3 - fs_o = tb._fs / tb._M - Ts_o = 1.0/fs_o - Tmax_o = len(d)*Ts_o - for i in xrange(len(tb.snks)): - # remove issues with the transients at the beginning - # also remove some corruption at the end of the stream - # this is a bug, probably due to the corner cases - d = tb.snks[i].data()[Ns:Ne] - - sp1_f = fig1.add_subplot(Nrows, Ncols, 1+i) - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs_o, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_o = 10.0*scipy.log10(abs(X)) - f_o = scipy.arange(-fs_o/2.0, fs_o/2.0, fs_o/float(X_o.size)) - p2_f = sp1_f.plot(f_o, X_o, "b") - sp1_f.set_xlim([min(f_o), max(f_o)+1]) - sp1_f.set_ylim([-200.0, 50.0]) - - sp1_f.set_title(("Channel %d" % i), weight="bold") - sp1_f.set_xlabel("Frequency (Hz)") - sp1_f.set_ylabel("Power (dBW)") - - x_o = scipy.array(d) - t_o = scipy.arange(0, Tmax_o, Ts_o) - sp2_o = fig2.add_subplot(Nrows, Ncols, 1+i) - p2_o = sp2_o.plot(t_o, x_o.real, "b") - p2_o = sp2_o.plot(t_o, x_o.imag, "r") - sp2_o.set_xlim([min(t_o), max(t_o)+1]) - sp2_o.set_ylim([-2, 2]) - - sp2_o.set_title(("Channel %d" % i), weight="bold") - sp2_o.set_xlabel("Time (s)") - sp2_o.set_ylabel("Amplitude") - - pylab.show() - - -if __name__ == "__main__": - try: - main() - except KeyboardInterrupt: - pass - diff --git a/gnuradio-examples/python/pfb/chirp_channelize.py b/gnuradio-examples/python/pfb/chirp_channelize.py deleted file mode 100755 index 951255d3b..000000000 --- a/gnuradio-examples/python/pfb/chirp_channelize.py +++ /dev/null @@ -1,203 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2009 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys, time - -try: - import scipy - from scipy import fftpack -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab - from pylab import mlab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - -class pfb_top_block(gr.top_block): - def __init__(self): - gr.top_block.__init__(self) - - self._N = 200000 # number of samples to use - self._fs = 9000 # initial sampling rate - self._M = 9 # Number of channels to channelize - - # Create a set of taps for the PFB channelizer - self._taps = gr.firdes.low_pass_2(1, self._fs, 500, 20, - attenuation_dB=10, window=gr.firdes.WIN_BLACKMAN_hARRIS) - - # Calculate the number of taps per channel for our own information - tpc = scipy.ceil(float(len(self._taps)) / float(self._M)) - print "Number of taps: ", len(self._taps) - print "Number of channels: ", self._M - print "Taps per channel: ", tpc - - repeated = True - if(repeated): - self.vco_input = gr.sig_source_f(self._fs, gr.GR_SIN_WAVE, 0.25, 110) - else: - amp = 100 - data = scipy.arange(0, amp, amp/float(self._N)) - self.vco_input = gr.vector_source_f(data, False) - - # Build a VCO controlled by either the sinusoid or single chirp tone - # Then convert this to a complex signal - self.vco = gr.vco_f(self._fs, 225, 1) - self.f2c = gr.float_to_complex() - - self.head = gr.head(gr.sizeof_gr_complex, self._N) - - # Construct the channelizer filter - self.pfb = blks2.pfb_channelizer_ccf(self._M, self._taps) - - # Construct a vector sink for the input signal to the channelizer - self.snk_i = gr.vector_sink_c() - - # Connect the blocks - self.connect(self.vco_input, self.vco, self.f2c) - self.connect(self.f2c, self.head, self.pfb) - self.connect(self.f2c, self.snk_i) - - # Create a vector sink for each of M output channels of the filter and connect it - self.snks = list() - for i in xrange(self._M): - self.snks.append(gr.vector_sink_c()) - self.connect((self.pfb, i), self.snks[i]) - - -def main(): - tstart = time.time() - - tb = pfb_top_block() - tb.run() - - tend = time.time() - print "Run time: %f" % (tend - tstart) - - if 1: - fig_in = pylab.figure(1, figsize=(16,9), facecolor="w") - fig1 = pylab.figure(2, figsize=(16,9), facecolor="w") - fig2 = pylab.figure(3, figsize=(16,9), facecolor="w") - fig3 = pylab.figure(4, figsize=(16,9), facecolor="w") - - Ns = 650 - Ne = 20000 - - fftlen = 8192 - winfunc = scipy.blackman - fs = tb._fs - - # Plot the input signal on its own figure - d = tb.snk_i.data()[Ns:Ne] - spin_f = fig_in.add_subplot(2, 1, 1) - - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_in = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_in = scipy.arange(-fs/2.0, fs/2.0, fs/float(X_in.size)) - pin_f = spin_f.plot(f_in, X_in, "b") - spin_f.set_xlim([min(f_in), max(f_in)+1]) - spin_f.set_ylim([-200.0, 50.0]) - - spin_f.set_title("Input Signal", weight="bold") - spin_f.set_xlabel("Frequency (Hz)") - spin_f.set_ylabel("Power (dBW)") - - - Ts = 1.0/fs - Tmax = len(d)*Ts - - t_in = scipy.arange(0, Tmax, Ts) - x_in = scipy.array(d) - spin_t = fig_in.add_subplot(2, 1, 2) - pin_t = spin_t.plot(t_in, x_in.real, "b") - pin_t = spin_t.plot(t_in, x_in.imag, "r") - - spin_t.set_xlabel("Time (s)") - spin_t.set_ylabel("Amplitude") - - Ncols = int(scipy.floor(scipy.sqrt(tb._M))) - Nrows = int(scipy.floor(tb._M / Ncols)) - if(tb._M % Ncols != 0): - Nrows += 1 - - # Plot each of the channels outputs. Frequencies on Figure 2 and - # time signals on Figure 3 - fs_o = tb._fs / tb._M - Ts_o = 1.0/fs_o - Tmax_o = len(d)*Ts_o - for i in xrange(len(tb.snks)): - # remove issues with the transients at the beginning - # also remove some corruption at the end of the stream - # this is a bug, probably due to the corner cases - d = tb.snks[i].data()[Ns:Ne] - - sp1_f = fig1.add_subplot(Nrows, Ncols, 1+i) - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs_o, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_o = 10.0*scipy.log10(abs(X)) - f_o = freq - p2_f = sp1_f.plot(f_o, X_o, "b") - sp1_f.set_xlim([min(f_o), max(f_o)+1]) - sp1_f.set_ylim([-200.0, 50.0]) - - sp1_f.set_title(("Channel %d" % i), weight="bold") - sp1_f.set_xlabel("Frequency (Hz)") - sp1_f.set_ylabel("Power (dBW)") - - x_o = scipy.array(d) - t_o = scipy.arange(0, Tmax_o, Ts_o) - sp2_o = fig2.add_subplot(Nrows, Ncols, 1+i) - p2_o = sp2_o.plot(t_o, x_o.real, "b") - p2_o = sp2_o.plot(t_o, x_o.imag, "r") - sp2_o.set_xlim([min(t_o), max(t_o)+1]) - sp2_o.set_ylim([-2, 2]) - - sp2_o.set_title(("Channel %d" % i), weight="bold") - sp2_o.set_xlabel("Time (s)") - sp2_o.set_ylabel("Amplitude") - - - sp3 = fig3.add_subplot(1,1,1) - p3 = sp3.plot(t_o, x_o.real) - sp3.set_xlim([min(t_o), max(t_o)+1]) - sp3.set_ylim([-2, 2]) - - sp3.set_title("All Channels") - sp3.set_xlabel("Time (s)") - sp3.set_ylabel("Amplitude") - - pylab.show() - - -if __name__ == "__main__": - try: - main() - except KeyboardInterrupt: - pass - diff --git a/gnuradio-examples/python/pfb/decimate.py b/gnuradio-examples/python/pfb/decimate.py deleted file mode 100755 index 643a2c241..000000000 --- a/gnuradio-examples/python/pfb/decimate.py +++ /dev/null @@ -1,178 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2009 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys, time - -try: - import scipy - from scipy import fftpack -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab - from pylab import mlab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - -class pfb_top_block(gr.top_block): - def __init__(self): - gr.top_block.__init__(self) - - self._N = 10000000 # number of samples to use - self._fs = 10000 # initial sampling rate - self._decim = 20 # Decimation rate - - # Generate the prototype filter taps for the decimators with a 200 Hz bandwidth - self._taps = gr.firdes.low_pass_2(1, self._fs, 200, 150, - attenuation_dB=120, window=gr.firdes.WIN_BLACKMAN_hARRIS) - - # Calculate the number of taps per channel for our own information - tpc = scipy.ceil(float(len(self._taps)) / float(self._decim)) - print "Number of taps: ", len(self._taps) - print "Number of filters: ", self._decim - print "Taps per channel: ", tpc - - # Build the input signal source - # We create a list of freqs, and a sine wave is generated and added to the source - # for each one of these frequencies. - self.signals = list() - self.add = gr.add_cc() - freqs = [10, 20, 2040] - for i in xrange(len(freqs)): - self.signals.append(gr.sig_source_c(self._fs, gr.GR_SIN_WAVE, freqs[i], 1)) - self.connect(self.signals[i], (self.add,i)) - - self.head = gr.head(gr.sizeof_gr_complex, self._N) - - # Construct a PFB decimator filter - self.pfb = blks2.pfb_decimator_ccf(self._decim, self._taps, 0) - - # Construct a standard FIR decimating filter - self.dec = gr.fir_filter_ccf(self._decim, self._taps) - - self.snk_i = gr.vector_sink_c() - - # Connect the blocks - self.connect(self.add, self.head, self.pfb) - self.connect(self.add, self.snk_i) - - # Create the sink for the decimated siganl - self.snk = gr.vector_sink_c() - self.connect(self.pfb, self.snk) - - -def main(): - tb = pfb_top_block() - - tstart = time.time() - tb.run() - tend = time.time() - print "Run time: %f" % (tend - tstart) - - if 1: - fig1 = pylab.figure(1, figsize=(16,9)) - fig2 = pylab.figure(2, figsize=(16,9)) - - Ns = 10000 - Ne = 10000 - - fftlen = 8192 - winfunc = scipy.blackman - fs = tb._fs - - # Plot the input to the decimator - - d = tb.snk_i.data()[Ns:Ns+Ne] - sp1_f = fig1.add_subplot(2, 1, 1) - - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_in = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_in = scipy.arange(-fs/2.0, fs/2.0, fs/float(X_in.size)) - p1_f = sp1_f.plot(f_in, X_in, "b") - sp1_f.set_xlim([min(f_in), max(f_in)+1]) - sp1_f.set_ylim([-200.0, 50.0]) - - sp1_f.set_title("Input Signal", weight="bold") - sp1_f.set_xlabel("Frequency (Hz)") - sp1_f.set_ylabel("Power (dBW)") - - Ts = 1.0/fs - Tmax = len(d)*Ts - - t_in = scipy.arange(0, Tmax, Ts) - x_in = scipy.array(d) - sp1_t = fig1.add_subplot(2, 1, 2) - p1_t = sp1_t.plot(t_in, x_in.real, "b") - p1_t = sp1_t.plot(t_in, x_in.imag, "r") - sp1_t.set_ylim([-tb._decim*1.1, tb._decim*1.1]) - - sp1_t.set_xlabel("Time (s)") - sp1_t.set_ylabel("Amplitude") - - - # Plot the output of the decimator - fs_o = tb._fs / tb._decim - - sp2_f = fig2.add_subplot(2, 1, 1) - d = tb.snk.data()[Ns:Ns+Ne] - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs_o, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_o = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_o = scipy.arange(-fs_o/2.0, fs_o/2.0, fs_o/float(X_o.size)) - p2_f = sp2_f.plot(f_o, X_o, "b") - sp2_f.set_xlim([min(f_o), max(f_o)+1]) - sp2_f.set_ylim([-200.0, 50.0]) - - sp2_f.set_title("PFB Decimated Signal", weight="bold") - sp2_f.set_xlabel("Frequency (Hz)") - sp2_f.set_ylabel("Power (dBW)") - - - Ts_o = 1.0/fs_o - Tmax_o = len(d)*Ts_o - - x_o = scipy.array(d) - t_o = scipy.arange(0, Tmax_o, Ts_o) - sp2_t = fig2.add_subplot(2, 1, 2) - p2_t = sp2_t.plot(t_o, x_o.real, "b-o") - p2_t = sp2_t.plot(t_o, x_o.imag, "r-o") - sp2_t.set_ylim([-2.5, 2.5]) - - sp2_t.set_xlabel("Time (s)") - sp2_t.set_ylabel("Amplitude") - - pylab.show() - - -if __name__ == "__main__": - try: - main() - except KeyboardInterrupt: - pass - diff --git a/gnuradio-examples/python/pfb/fmtest.py b/gnuradio-examples/python/pfb/fmtest.py deleted file mode 100755 index 635ee4e9e..000000000 --- a/gnuradio-examples/python/pfb/fmtest.py +++ /dev/null @@ -1,225 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2009 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys, math, time - -try: - import scipy - from scipy import fftpack -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - - -class fmtx(gr.hier_block2): - def __init__(self, lo_freq, audio_rate, if_rate): - - gr.hier_block2.__init__(self, "build_fm", - gr.io_signature(1, 1, gr.sizeof_float), # Input signature - gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature - - fmtx = blks2.nbfm_tx (audio_rate, if_rate, max_dev=5e3, tau=75e-6) - - # Local oscillator - lo = gr.sig_source_c (if_rate, # sample rate - gr.GR_SIN_WAVE, # waveform type - lo_freq, #frequency - 1.0, # amplitude - 0) # DC Offset - mixer = gr.multiply_cc () - - self.connect (self, fmtx, (mixer, 0)) - self.connect (lo, (mixer, 1)) - self.connect (mixer, self) - -class fmtest(gr.top_block): - def __init__(self): - gr.top_block.__init__(self) - - self._nsamples = 1000000 - self._audio_rate = 8000 - - # Set up N channels with their own baseband and IF frequencies - self._N = 5 - chspacing = 16000 - freq = [10, 20, 30, 40, 50] - f_lo = [0, 1*chspacing, -1*chspacing, 2*chspacing, -2*chspacing] - - self._if_rate = 4*self._N*self._audio_rate - - # Create a signal source and frequency modulate it - self.sum = gr.add_cc () - for n in xrange(self._N): - sig = gr.sig_source_f(self._audio_rate, gr.GR_SIN_WAVE, freq[n], 0.5) - fm = fmtx(f_lo[n], self._audio_rate, self._if_rate) - self.connect(sig, fm) - self.connect(fm, (self.sum, n)) - - self.head = gr.head(gr.sizeof_gr_complex, self._nsamples) - self.snk_tx = gr.vector_sink_c() - self.channel = blks2.channel_model(0.1) - - self.connect(self.sum, self.head, self.channel, self.snk_tx) - - - # Design the channlizer - self._M = 10 - bw = chspacing/2.0 - t_bw = chspacing/10.0 - self._chan_rate = self._if_rate / self._M - self._taps = gr.firdes.low_pass_2(1, self._if_rate, bw, t_bw, - attenuation_dB=100, - window=gr.firdes.WIN_BLACKMAN_hARRIS) - tpc = math.ceil(float(len(self._taps)) / float(self._M)) - - print "Number of taps: ", len(self._taps) - print "Number of channels: ", self._M - print "Taps per channel: ", tpc - - self.pfb = blks2.pfb_channelizer_ccf(self._M, self._taps) - - self.connect(self.channel, self.pfb) - - # Create a file sink for each of M output channels of the filter and connect it - self.fmdet = list() - self.squelch = list() - self.snks = list() - for i in xrange(self._M): - self.fmdet.append(blks2.nbfm_rx(self._audio_rate, self._chan_rate)) - self.squelch.append(blks2.standard_squelch(self._audio_rate*10)) - self.snks.append(gr.vector_sink_f()) - self.connect((self.pfb, i), self.fmdet[i], self.squelch[i], self.snks[i]) - - def num_tx_channels(self): - return self._N - - def num_rx_channels(self): - return self._M - -def main(): - - fm = fmtest() - - tstart = time.time() - fm.run() - tend = time.time() - - if 1: - fig1 = pylab.figure(1, figsize=(12,10), facecolor="w") - fig2 = pylab.figure(2, figsize=(12,10), facecolor="w") - fig3 = pylab.figure(3, figsize=(12,10), facecolor="w") - - Ns = 10000 - Ne = 100000 - - fftlen = 8192 - winfunc = scipy.blackman - - # Plot transmitted signal - fs = fm._if_rate - - d = fm.snk_tx.data()[Ns:Ns+Ne] - sp1_f = fig1.add_subplot(2, 1, 1) - - X,freq = sp1_f.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, - window = lambda d: d*winfunc(fftlen), - visible=False) - X_in = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_in = scipy.arange(-fs/2.0, fs/2.0, fs/float(X_in.size)) - p1_f = sp1_f.plot(f_in, X_in, "b") - sp1_f.set_xlim([min(f_in), max(f_in)+1]) - sp1_f.set_ylim([-120.0, 20.0]) - - sp1_f.set_title("Input Signal", weight="bold") - sp1_f.set_xlabel("Frequency (Hz)") - sp1_f.set_ylabel("Power (dBW)") - - Ts = 1.0/fs - Tmax = len(d)*Ts - - t_in = scipy.arange(0, Tmax, Ts) - x_in = scipy.array(d) - sp1_t = fig1.add_subplot(2, 1, 2) - p1_t = sp1_t.plot(t_in, x_in.real, "b-o") - #p1_t = sp1_t.plot(t_in, x_in.imag, "r-o") - sp1_t.set_ylim([-5, 5]) - - # Set up the number of rows and columns for plotting the subfigures - Ncols = int(scipy.floor(scipy.sqrt(fm.num_rx_channels()))) - Nrows = int(scipy.floor(fm.num_rx_channels() / Ncols)) - if(fm.num_rx_channels() % Ncols != 0): - Nrows += 1 - - # Plot each of the channels outputs. Frequencies on Figure 2 and - # time signals on Figure 3 - fs_o = fm._audio_rate - for i in xrange(len(fm.snks)): - # remove issues with the transients at the beginning - # also remove some corruption at the end of the stream - # this is a bug, probably due to the corner cases - d = fm.snks[i].data()[Ns:Ne] - - sp2_f = fig2.add_subplot(Nrows, Ncols, 1+i) - X,freq = sp2_f.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs_o, - window = lambda d: d*winfunc(fftlen), - visible=False) - #X_o = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - X_o = 10.0*scipy.log10(abs(X)) - #f_o = scipy.arange(-fs_o/2.0, fs_o/2.0, fs_o/float(X_o.size)) - f_o = scipy.arange(0, fs_o/2.0, fs_o/2.0/float(X_o.size)) - p2_f = sp2_f.plot(f_o, X_o, "b") - sp2_f.set_xlim([min(f_o), max(f_o)+0.1]) - sp2_f.set_ylim([-120.0, 20.0]) - sp2_f.grid(True) - - sp2_f.set_title(("Channel %d" % i), weight="bold") - sp2_f.set_xlabel("Frequency (kHz)") - sp2_f.set_ylabel("Power (dBW)") - - - Ts = 1.0/fs_o - Tmax = len(d)*Ts - t_o = scipy.arange(0, Tmax, Ts) - - x_t = scipy.array(d) - sp2_t = fig3.add_subplot(Nrows, Ncols, 1+i) - p2_t = sp2_t.plot(t_o, x_t.real, "b") - p2_t = sp2_t.plot(t_o, x_t.imag, "r") - sp2_t.set_xlim([min(t_o), max(t_o)+1]) - sp2_t.set_ylim([-1, 1]) - - sp2_t.set_xlabel("Time (s)") - sp2_t.set_ylabel("Amplitude") - - - pylab.show() - - -if __name__ == "__main__": - main() diff --git a/gnuradio-examples/python/pfb/interpolate.py b/gnuradio-examples/python/pfb/interpolate.py deleted file mode 100755 index 370cf26a7..000000000 --- a/gnuradio-examples/python/pfb/interpolate.py +++ /dev/null @@ -1,233 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2009 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys, time - -try: - import scipy - from scipy import fftpack -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab - from pylab import mlab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - -class pfb_top_block(gr.top_block): - def __init__(self): - gr.top_block.__init__(self) - - self._N = 100000 # number of samples to use - self._fs = 2000 # initial sampling rate - self._interp = 5 # Interpolation rate for PFB interpolator - self._ainterp = 5.5 # Resampling rate for the PFB arbitrary resampler - - # Frequencies of the signals we construct - freq1 = 100 - freq2 = 200 - - # Create a set of taps for the PFB interpolator - # This is based on the post-interpolation sample rate - self._taps = gr.firdes.low_pass_2(self._interp, self._interp*self._fs, freq2+50, 50, - attenuation_dB=120, window=gr.firdes.WIN_BLACKMAN_hARRIS) - - # Create a set of taps for the PFB arbitrary resampler - # The filter size is the number of filters in the filterbank; 32 will give very low side-lobes, - # and larger numbers will reduce these even farther - # The taps in this filter are based on a sampling rate of the filter size since it acts - # internally as an interpolator. - flt_size = 32 - self._taps2 = gr.firdes.low_pass_2(flt_size, flt_size*self._fs, freq2+50, 150, - attenuation_dB=120, window=gr.firdes.WIN_BLACKMAN_hARRIS) - - # Calculate the number of taps per channel for our own information - tpc = scipy.ceil(float(len(self._taps)) / float(self._interp)) - print "Number of taps: ", len(self._taps) - print "Number of filters: ", self._interp - print "Taps per channel: ", tpc - - # Create a couple of signals at different frequencies - self.signal1 = gr.sig_source_c(self._fs, gr.GR_SIN_WAVE, freq1, 0.5) - self.signal2 = gr.sig_source_c(self._fs, gr.GR_SIN_WAVE, freq2, 0.5) - self.signal = gr.add_cc() - - self.head = gr.head(gr.sizeof_gr_complex, self._N) - - # Construct the PFB interpolator filter - self.pfb = blks2.pfb_interpolator_ccf(self._interp, self._taps) - - # Construct the PFB arbitrary resampler filter - self.pfb_ar = blks2.pfb_arb_resampler_ccf(self._ainterp, self._taps2, flt_size) - self.snk_i = gr.vector_sink_c() - - #self.pfb_ar.pfb.print_taps() - #self.pfb.pfb.print_taps() - - # Connect the blocks - self.connect(self.signal1, self.head, (self.signal,0)) - self.connect(self.signal2, (self.signal,1)) - self.connect(self.signal, self.pfb) - self.connect(self.signal, self.pfb_ar) - self.connect(self.signal, self.snk_i) - - # Create the sink for the interpolated signals - self.snk1 = gr.vector_sink_c() - self.snk2 = gr.vector_sink_c() - self.connect(self.pfb, self.snk1) - self.connect(self.pfb_ar, self.snk2) - - -def main(): - tb = pfb_top_block() - - tstart = time.time() - tb.run() - tend = time.time() - print "Run time: %f" % (tend - tstart) - - - if 1: - fig1 = pylab.figure(1, figsize=(12,10), facecolor="w") - fig2 = pylab.figure(2, figsize=(12,10), facecolor="w") - fig3 = pylab.figure(3, figsize=(12,10), facecolor="w") - - Ns = 10000 - Ne = 10000 - - fftlen = 8192 - winfunc = scipy.blackman - - # Plot input signal - fs = tb._fs - - d = tb.snk_i.data()[Ns:Ns+Ne] - sp1_f = fig1.add_subplot(2, 1, 1) - - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_in = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_in = scipy.arange(-fs/2.0, fs/2.0, fs/float(X_in.size)) - p1_f = sp1_f.plot(f_in, X_in, "b") - sp1_f.set_xlim([min(f_in), max(f_in)+1]) - sp1_f.set_ylim([-200.0, 50.0]) - - - sp1_f.set_title("Input Signal", weight="bold") - sp1_f.set_xlabel("Frequency (Hz)") - sp1_f.set_ylabel("Power (dBW)") - - Ts = 1.0/fs - Tmax = len(d)*Ts - - t_in = scipy.arange(0, Tmax, Ts) - x_in = scipy.array(d) - sp1_t = fig1.add_subplot(2, 1, 2) - p1_t = sp1_t.plot(t_in, x_in.real, "b-o") - #p1_t = sp1_t.plot(t_in, x_in.imag, "r-o") - sp1_t.set_ylim([-2.5, 2.5]) - - sp1_t.set_title("Input Signal", weight="bold") - sp1_t.set_xlabel("Time (s)") - sp1_t.set_ylabel("Amplitude") - - - # Plot output of PFB interpolator - fs_int = tb._fs*tb._interp - - sp2_f = fig2.add_subplot(2, 1, 1) - d = tb.snk1.data()[Ns:Ns+(tb._interp*Ne)] - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_o = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_o = scipy.arange(-fs_int/2.0, fs_int/2.0, fs_int/float(X_o.size)) - p2_f = sp2_f.plot(f_o, X_o, "b") - sp2_f.set_xlim([min(f_o), max(f_o)+1]) - sp2_f.set_ylim([-200.0, 50.0]) - - sp2_f.set_title("Output Signal from PFB Interpolator", weight="bold") - sp2_f.set_xlabel("Frequency (Hz)") - sp2_f.set_ylabel("Power (dBW)") - - Ts_int = 1.0/fs_int - Tmax = len(d)*Ts_int - - t_o = scipy.arange(0, Tmax, Ts_int) - x_o1 = scipy.array(d) - sp2_t = fig2.add_subplot(2, 1, 2) - p2_t = sp2_t.plot(t_o, x_o1.real, "b-o") - #p2_t = sp2_t.plot(t_o, x_o.imag, "r-o") - sp2_t.set_ylim([-2.5, 2.5]) - - sp2_t.set_title("Output Signal from PFB Interpolator", weight="bold") - sp2_t.set_xlabel("Time (s)") - sp2_t.set_ylabel("Amplitude") - - - # Plot output of PFB arbitrary resampler - fs_aint = tb._fs * tb._ainterp - - sp3_f = fig3.add_subplot(2, 1, 1) - d = tb.snk2.data()[Ns:Ns+(tb._interp*Ne)] - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, - window = lambda d: d*winfunc(fftlen), - scale_by_freq=True) - X_o = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_o = scipy.arange(-fs_aint/2.0, fs_aint/2.0, fs_aint/float(X_o.size)) - p3_f = sp3_f.plot(f_o, X_o, "b") - sp3_f.set_xlim([min(f_o), max(f_o)+1]) - sp3_f.set_ylim([-200.0, 50.0]) - - sp3_f.set_title("Output Signal from PFB Arbitrary Resampler", weight="bold") - sp3_f.set_xlabel("Frequency (Hz)") - sp3_f.set_ylabel("Power (dBW)") - - Ts_aint = 1.0/fs_aint - Tmax = len(d)*Ts_aint - - t_o = scipy.arange(0, Tmax, Ts_aint) - x_o2 = scipy.array(d) - sp3_f = fig3.add_subplot(2, 1, 2) - p3_f = sp3_f.plot(t_o, x_o2.real, "b-o") - p3_f = sp3_f.plot(t_o, x_o1.real, "m-o") - #p3_f = sp3_f.plot(t_o, x_o2.imag, "r-o") - sp3_f.set_ylim([-2.5, 2.5]) - - sp3_f.set_title("Output Signal from PFB Arbitrary Resampler", weight="bold") - sp3_f.set_xlabel("Time (s)") - sp3_f.set_ylabel("Amplitude") - - pylab.show() - - -if __name__ == "__main__": - try: - main() - except KeyboardInterrupt: - pass - diff --git a/gnuradio-examples/python/pfb/reconstruction.py b/gnuradio-examples/python/pfb/reconstruction.py deleted file mode 100755 index c7909f7a5..000000000 --- a/gnuradio-examples/python/pfb/reconstruction.py +++ /dev/null @@ -1,131 +0,0 @@ -#!/usr/bin/env python - -import scipy, math, pylab -from scipy import fftpack -from gnuradio import gr, digital, blks2 - -fftlen = 8192 - -def main(): - N = 10000 - fs = 2000.0 - Ts = 1.0/fs - t = scipy.arange(0, N*Ts, Ts) - - # When playing with the number of channels, be careful about the filter - # specs and the channel map of the synthesizer set below. - nchans = 10 - - # Build the filter(s) - bw = 1000 - tb = 400 - proto_taps = gr.firdes.low_pass_2(1, nchans*fs, bw, tb, 80, - gr.firdes.WIN_BLACKMAN_hARRIS) - print "Filter length: ", len(proto_taps) - - - # Create a modulated signal - npwr = 0.01 - data = scipy.random.randint(0, 256, N) - rrc_taps = gr.firdes.root_raised_cosine(1, 2, 1, 0.35, 41) - - src = gr.vector_source_b(data.astype(scipy.uint8).tolist(), False) - mod = digital.bpsk_mod(samples_per_symbol=2) - chan = gr.channel_model(npwr) - rrc = gr.fft_filter_ccc(1, rrc_taps) - - # Split it up into pieces - channelizer = blks2.pfb_channelizer_ccf(nchans, proto_taps, 2) - - # Put the pieces back together again - syn_taps = [nchans*t for t in proto_taps] - synthesizer = gr.pfb_synthesizer_ccf(nchans, syn_taps, True) - src_snk = gr.vector_sink_c() - snk = gr.vector_sink_c() - - # Remap the location of the channels - # Can be done in synth or channelizer (watch out for rotattions in - # the channelizer) - synthesizer.set_channel_map([ 0, 1, 2, 3, 4, - 15, 16, 17, 18, 19]) - - tb = gr.top_block() - tb.connect(src, mod, chan, rrc, channelizer) - tb.connect(rrc, src_snk) - - vsnk = [] - for i in xrange(nchans): - tb.connect((channelizer,i), (synthesizer, i)) - - vsnk.append(gr.vector_sink_c()) - tb.connect((channelizer,i), vsnk[i]) - - tb.connect(synthesizer, snk) - tb.run() - - sin = scipy.array(src_snk.data()[1000:]) - sout = scipy.array(snk.data()[1000:]) - - - # Plot original signal - fs_in = nchans*fs - f1 = pylab.figure(1, figsize=(16,12), facecolor='w') - s11 = f1.add_subplot(2,2,1) - s11.psd(sin, NFFT=fftlen, Fs=fs_in) - s11.set_title("PSD of Original Signal") - s11.set_ylim([-200, -20]) - - s12 = f1.add_subplot(2,2,2) - s12.plot(sin.real[1000:1500], "o-b") - s12.plot(sin.imag[1000:1500], "o-r") - s12.set_title("Original Signal in Time") - - start = 1 - skip = 4 - s13 = f1.add_subplot(2,2,3) - s13.plot(sin.real[start::skip], sin.imag[start::skip], "o") - s13.set_title("Constellation") - s13.set_xlim([-2, 2]) - s13.set_ylim([-2, 2]) - - # Plot channels - nrows = int(scipy.sqrt(nchans)) - ncols = int(scipy.ceil(float(nchans)/float(nrows))) - - f2 = pylab.figure(2, figsize=(16,12), facecolor='w') - for n in xrange(nchans): - s = f2.add_subplot(nrows, ncols, n+1) - s.psd(vsnk[n].data(), NFFT=fftlen, Fs=fs_in) - s.set_title("Channel {0}".format(n)) - s.set_ylim([-200, -20]) - - # Plot reconstructed signal - fs_out = 2*nchans*fs - f3 = pylab.figure(3, figsize=(16,12), facecolor='w') - s31 = f3.add_subplot(2,2,1) - s31.psd(sout, NFFT=fftlen, Fs=fs_out) - s31.set_title("PSD of Reconstructed Signal") - s31.set_ylim([-200, -20]) - - s32 = f3.add_subplot(2,2,2) - s32.plot(sout.real[1000:1500], "o-b") - s32.plot(sout.imag[1000:1500], "o-r") - s32.set_title("Reconstructed Signal in Time") - - start = 2 - skip = 4 - s33 = f3.add_subplot(2,2,3) - s33.plot(sout.real[start::skip], sout.imag[start::skip], "o") - s33.set_title("Constellation") - s33.set_xlim([-2, 2]) - s33.set_ylim([-2, 2]) - - pylab.show() - - -if __name__ == "__main__": - try: - main() - except KeyboardInterrupt: - pass - diff --git a/gnuradio-examples/python/pfb/resampler.py b/gnuradio-examples/python/pfb/resampler.py deleted file mode 100755 index 7b296ca71..000000000 --- a/gnuradio-examples/python/pfb/resampler.py +++ /dev/null @@ -1,127 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2009 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys - -try: - import scipy -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - -class mytb(gr.top_block): - def __init__(self, fs_in, fs_out, fc, N=10000): - gr.top_block.__init__(self) - - rerate = float(fs_out) / float(fs_in) - print "Resampling from %f to %f by %f " %(fs_in, fs_out, rerate) - - # Creating our own taps - taps = gr.firdes.low_pass_2(32, 32, 0.25, 0.1, 80) - - self.src = gr.sig_source_c(fs_in, gr.GR_SIN_WAVE, fc, 1) - #self.src = gr.noise_source_c(gr.GR_GAUSSIAN, 1) - self.head = gr.head(gr.sizeof_gr_complex, N) - - # A resampler with our taps - self.resamp_0 = blks2.pfb_arb_resampler_ccf(rerate, taps, - flt_size=32) - - # A resampler that just needs a resampling rate. - # Filter is created for us and designed to cover - # entire bandwidth of the input signal. - # An optional atten=XX rate can be used here to - # specify the out-of-band rejection (default=80). - self.resamp_1 = blks2.pfb_arb_resampler_ccf(rerate) - - self.snk_in = gr.vector_sink_c() - self.snk_0 = gr.vector_sink_c() - self.snk_1 = gr.vector_sink_c() - - self.connect(self.src, self.head, self.snk_in) - self.connect(self.head, self.resamp_0, self.snk_0) - self.connect(self.head, self.resamp_1, self.snk_1) - -def main(): - fs_in = 8000 - fs_out = 20000 - fc = 1000 - N = 10000 - - tb = mytb(fs_in, fs_out, fc, N) - tb.run() - - - # Plot PSD of signals - nfftsize = 2048 - fig1 = pylab.figure(1, figsize=(10,10), facecolor="w") - sp1 = fig1.add_subplot(2,1,1) - sp1.psd(tb.snk_in.data(), NFFT=nfftsize, - noverlap=nfftsize/4, Fs = fs_in) - sp1.set_title(("Input Signal at f_s=%.2f kHz" % (fs_in/1000.0))) - sp1.set_xlim([-fs_in/2, fs_in/2]) - - sp2 = fig1.add_subplot(2,1,2) - sp2.psd(tb.snk_0.data(), NFFT=nfftsize, - noverlap=nfftsize/4, Fs = fs_out, - label="With our filter") - sp2.psd(tb.snk_1.data(), NFFT=nfftsize, - noverlap=nfftsize/4, Fs = fs_out, - label="With auto-generated filter") - sp2.set_title(("Output Signals at f_s=%.2f kHz" % (fs_out/1000.0))) - sp2.set_xlim([-fs_out/2, fs_out/2]) - sp2.legend() - - # Plot signals in time - Ts_in = 1.0/fs_in - Ts_out = 1.0/fs_out - t_in = scipy.arange(0, len(tb.snk_in.data())*Ts_in, Ts_in) - t_out = scipy.arange(0, len(tb.snk_0.data())*Ts_out, Ts_out) - - fig2 = pylab.figure(2, figsize=(10,10), facecolor="w") - sp21 = fig2.add_subplot(2,1,1) - sp21.plot(t_in, tb.snk_in.data()) - sp21.set_title(("Input Signal at f_s=%.2f kHz" % (fs_in/1000.0))) - sp21.set_xlim([t_in[100], t_in[200]]) - - sp22 = fig2.add_subplot(2,1,2) - sp22.plot(t_out, tb.snk_0.data(), - label="With our filter") - sp22.plot(t_out, tb.snk_1.data(), - label="With auto-generated filter") - sp22.set_title(("Output Signals at f_s=%.2f kHz" % (fs_out/1000.0))) - r = float(fs_out)/float(fs_in) - sp22.set_xlim([t_out[r * 100], t_out[r * 200]]) - sp22.legend() - - pylab.show() - -if __name__ == "__main__": - main() - diff --git a/gnuradio-examples/python/pfb/resampler_demo.grc b/gnuradio-examples/python/pfb/resampler_demo.grc deleted file mode 100644 index 468636a5c..000000000 --- a/gnuradio-examples/python/pfb/resampler_demo.grc +++ /dev/null @@ -1,598 +0,0 @@ -<?xml version='1.0' encoding='ASCII'?> -<flow_graph> - <timestamp>Sun Aug 23 11:39:47 2009</timestamp> - <block> - <key>options</key> - <param> - <key>id</key> - <value>resampler_demo</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>title</key> - <value></value> - </param> - <param> - <key>author</key> - <value></value> - </param> - <param> - <key>description</key> - <value></value> - </param> - <param> - <key>window_size</key> - <value>1280, 1024</value> - </param> - <param> - <key>generate_options</key> - <value>wx_gui</value> - </param> - <param> - <key>category</key> - <value>Custom</value> - </param> - <param> - <key>run</key> - <value>True</value> - </param> - <param> - <key>realtime_scheduling</key> - <value></value> - </param> - <param> - <key>_coordinate</key> - <value>(10, 10)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>import</key> - <param> - <key>id</key> - <value>import_0</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>import</key> - <value>import math</value> - </param> - <param> - <key>_coordinate</key> - <value>(11, 59)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>variable</key> - <param> - <key>id</key> - <value>rs_taps</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>value</key> - <value>firdes.low_pass(nphases, nphases, frac_bw, 0.5-frac_bw)</value> - </param> - <param> - <key>_coordinate</key> - <value>(273, 154)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>gr_add_const_vxx</key> - <param> - <key>id</key> - <value>adder</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>type</key> - <value>float</value> - </param> - <param> - <key>const</key> - <value>-1.0</value> - </param> - <param> - <key>vlen</key> - <value>1</value> - </param> - <param> - <key>_coordinate</key> - <value>(227, 303)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>gr_throttle</key> - <param> - <key>id</key> - <value>throttle</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>type</key> - <value>float</value> - </param> - <param> - <key>samples_per_second</key> - <value>samp_rate</value> - </param> - <param> - <key>vlen</key> - <value>1</value> - </param> - <param> - <key>_coordinate</key> - <value>(227, 493)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>wxgui_fftsink2</key> - <param> - <key>id</key> - <value>orig_fft</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>type</key> - <value>complex</value> - </param> - <param> - <key>title</key> - <value>Original Spectrum</value> - </param> - <param> - <key>samp_rate</key> - <value>samp_rate</value> - </param> - <param> - <key>baseband_freq</key> - <value>0</value> - </param> - <param> - <key>y_per_div</key> - <value>10</value> - </param> - <param> - <key>y_divs</key> - <value>10</value> - </param> - <param> - <key>ref_level</key> - <value>30</value> - </param> - <param> - <key>fft_size</key> - <value>1024</value> - </param> - <param> - <key>fft_rate</key> - <value>30</value> - </param> - <param> - <key>peak_hold</key> - <value>False</value> - </param> - <param> - <key>average</key> - <value>False</value> - </param> - <param> - <key>avg_alpha</key> - <value>0</value> - </param> - <param> - <key>grid_pos</key> - <value>1, 0, 1, 3</value> - </param> - <param> - <key>notebook</key> - <value></value> - </param> - <param> - <key>_coordinate</key> - <value>(409, 289)</value> - </param> - <param> - <key>_rotation</key> - <value>180</value> - </param> - </block> - <block> - <key>wxgui_fftsink2</key> - <param> - <key>id</key> - <value>resamp_fft</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>type</key> - <value>complex</value> - </param> - <param> - <key>title</key> - <value>Resampled Spectrum</value> - </param> - <param> - <key>samp_rate</key> - <value>new_rate</value> - </param> - <param> - <key>baseband_freq</key> - <value>0</value> - </param> - <param> - <key>y_per_div</key> - <value>10</value> - </param> - <param> - <key>y_divs</key> - <value>10</value> - </param> - <param> - <key>ref_level</key> - <value>30</value> - </param> - <param> - <key>fft_size</key> - <value>1024</value> - </param> - <param> - <key>fft_rate</key> - <value>30</value> - </param> - <param> - <key>peak_hold</key> - <value>True</value> - </param> - <param> - <key>average</key> - <value>False</value> - </param> - <param> - <key>avg_alpha</key> - <value>0</value> - </param> - <param> - <key>grid_pos</key> - <value>2, 0, 1, 3</value> - </param> - <param> - <key>notebook</key> - <value></value> - </param> - <param> - <key>_coordinate</key> - <value>(640, 256)</value> - </param> - <param> - <key>_rotation</key> - <value>180</value> - </param> - </block> - <block> - <key>gr_sig_source_x</key> - <param> - <key>id</key> - <value>tri_source</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>type</key> - <value>float</value> - </param> - <param> - <key>samp_rate</key> - <value>samp_rate</value> - </param> - <param> - <key>waveform</key> - <value>gr.GR_TRI_WAVE</value> - </param> - <param> - <key>freq</key> - <value>0.05</value> - </param> - <param> - <key>amp</key> - <value>2.0</value> - </param> - <param> - <key>offset</key> - <value>0</value> - </param> - <param> - <key>_coordinate</key> - <value>(21, 271)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>gr_frequency_modulator_fc</key> - <param> - <key>id</key> - <value>fm_mod</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>sensitivity</key> - <value>math.pi</value> - </param> - <param> - <key>_coordinate</key> - <value>(411, 493)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>blks2_pfb_arb_resampler_ccf</key> - <param> - <key>id</key> - <value>resampler</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>rate</key> - <value>float(new_rate)/samp_rate</value> - </param> - <param> - <key>taps</key> - <value>rs_taps</value> - </param> - <param> - <key>size</key> - <value>nphases</value> - </param> - <param> - <key>_coordinate</key> - <value>(641, 477)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>variable</key> - <param> - <key>id</key> - <value>nphases</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>value</key> - <value>32</value> - </param> - <param> - <key>_coordinate</key> - <value>(185, 153)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>variable_static_text</key> - <param> - <key>id</key> - <value>samp_rate</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>label</key> - <value>Sample Rate</value> - </param> - <param> - <key>value</key> - <value>44100</value> - </param> - <param> - <key>converver</key> - <value>float_converter</value> - </param> - <param> - <key>formatter</key> - <value>None</value> - </param> - <param> - <key>grid_pos</key> - <value>0, 0, 1, 1</value> - </param> - <param> - <key>notebook</key> - <value></value> - </param> - <param> - <key>_coordinate</key> - <value>(179, 14)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>variable_static_text</key> - <param> - <key>id</key> - <value>new_rate</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>label</key> - <value>Resampled Rate</value> - </param> - <param> - <key>value</key> - <value>48000</value> - </param> - <param> - <key>converver</key> - <value>float_converter</value> - </param> - <param> - <key>formatter</key> - <value>None</value> - </param> - <param> - <key>grid_pos</key> - <value>0, 1, 1, 1</value> - </param> - <param> - <key>notebook</key> - <value></value> - </param> - <param> - <key>_coordinate</key> - <value>(328, 15)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <block> - <key>variable_static_text</key> - <param> - <key>id</key> - <value>frac_bw</value> - </param> - <param> - <key>_enabled</key> - <value>True</value> - </param> - <param> - <key>label</key> - <value>Fractional Bandwidth</value> - </param> - <param> - <key>value</key> - <value>0.45</value> - </param> - <param> - <key>converver</key> - <value>float_converter</value> - </param> - <param> - <key>formatter</key> - <value>lambda x: "%0.2f"%x</value> - </param> - <param> - <key>grid_pos</key> - <value>0,2,1,1</value> - </param> - <param> - <key>notebook</key> - <value></value> - </param> - <param> - <key>_coordinate</key> - <value>(473, 14)</value> - </param> - <param> - <key>_rotation</key> - <value>0</value> - </param> - </block> - <connection> - <source_block_id>tri_source</source_block_id> - <sink_block_id>adder</sink_block_id> - <source_key>0</source_key> - <sink_key>0</sink_key> - </connection> - <connection> - <source_block_id>adder</source_block_id> - <sink_block_id>throttle</sink_block_id> - <source_key>0</source_key> - <sink_key>0</sink_key> - </connection> - <connection> - <source_block_id>resampler</source_block_id> - <sink_block_id>resamp_fft</sink_block_id> - <source_key>0</source_key> - <sink_key>0</sink_key> - </connection> - <connection> - <source_block_id>fm_mod</source_block_id> - <sink_block_id>resampler</sink_block_id> - <source_key>0</source_key> - <sink_key>0</sink_key> - </connection> - <connection> - <source_block_id>fm_mod</source_block_id> - <sink_block_id>orig_fft</sink_block_id> - <source_key>0</source_key> - <sink_key>0</sink_key> - </connection> - <connection> - <source_block_id>throttle</source_block_id> - <sink_block_id>fm_mod</sink_block_id> - <source_key>0</source_key> - <sink_key>0</sink_key> - </connection> -</flow_graph> diff --git a/gnuradio-examples/python/pfb/synth_filter.py b/gnuradio-examples/python/pfb/synth_filter.py deleted file mode 100755 index a91edfebf..000000000 --- a/gnuradio-examples/python/pfb/synth_filter.py +++ /dev/null @@ -1,83 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2010 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys - -try: - import scipy -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - -def main(): - N = 1000000 - fs = 8000 - - freqs = [100, 200, 300, 400, 500] - nchans = 7 - - sigs = list() - for fi in freqs: - s = gr.sig_source_c(fs, gr.GR_SIN_WAVE, fi, 1) - sigs.append(s) - - taps = gr.firdes.low_pass_2(len(freqs), fs, fs/float(nchans)/2, 100, 100) - print "Num. Taps = %d (taps per filter = %d)" % (len(taps), - len(taps)/nchans) - filtbank = gr.pfb_synthesizer_ccf(nchans, taps) - - head = gr.head(gr.sizeof_gr_complex, N) - snk = gr.vector_sink_c() - - tb = gr.top_block() - tb.connect(filtbank, head, snk) - - for i,si in enumerate(sigs): - tb.connect(si, (filtbank, i)) - - tb.run() - - if 1: - f1 = pylab.figure(1) - s1 = f1.add_subplot(1,1,1) - s1.plot(snk.data()[1000:]) - - fftlen = 2048 - f2 = pylab.figure(2) - s2 = f2.add_subplot(1,1,1) - winfunc = scipy.blackman - s2.psd(snk.data()[10000:], NFFT=fftlen, - Fs = nchans*fs, - noverlap=fftlen/4, - window = lambda d: d*winfunc(fftlen)) - - pylab.show() - -if __name__ == "__main__": - main() diff --git a/gnuradio-examples/python/pfb/synth_to_chan.py b/gnuradio-examples/python/pfb/synth_to_chan.py deleted file mode 100755 index c6c80b2f8..000000000 --- a/gnuradio-examples/python/pfb/synth_to_chan.py +++ /dev/null @@ -1,117 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2010 Free Software Foundation, Inc. -# -# This file is part of GNU Radio -# -# GNU Radio is free software; you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation; either version 3, or (at your option) -# any later version. -# -# GNU Radio is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with GNU Radio; see the file COPYING. If not, write to -# the Free Software Foundation, Inc., 51 Franklin Street, -# Boston, MA 02110-1301, USA. -# - -from gnuradio import gr, blks2 -import sys - -try: - import scipy -except ImportError: - print "Error: Program requires scipy (see: www.scipy.org)." - sys.exit(1) - -try: - import pylab -except ImportError: - print "Error: Program requires matplotlib (see: matplotlib.sourceforge.net)." - sys.exit(1) - -def main(): - N = 1000000 - fs = 8000 - - freqs = [100, 200, 300, 400, 500] - nchans = 7 - - sigs = list() - fmtx = list() - for fi in freqs: - s = gr.sig_source_f(fs, gr.GR_SIN_WAVE, fi, 1) - fm = blks2.nbfm_tx (fs, 4*fs, max_dev=10000, tau=75e-6) - sigs.append(s) - fmtx.append(fm) - - syntaps = gr.firdes.low_pass_2(len(freqs), fs, fs/float(nchans)/2, 100, 100) - print "Synthesis Num. Taps = %d (taps per filter = %d)" % (len(syntaps), - len(syntaps)/nchans) - chtaps = gr.firdes.low_pass_2(len(freqs), fs, fs/float(nchans)/2, 100, 100) - print "Channelizer Num. Taps = %d (taps per filter = %d)" % (len(chtaps), - len(chtaps)/nchans) - filtbank = gr.pfb_synthesizer_ccf(nchans, syntaps) - channelizer = blks2.pfb_channelizer_ccf(nchans, chtaps) - - noise_level = 0.01 - head = gr.head(gr.sizeof_gr_complex, N) - noise = gr.noise_source_c(gr.GR_GAUSSIAN, noise_level) - addnoise = gr.add_cc() - snk_synth = gr.vector_sink_c() - - tb = gr.top_block() - - tb.connect(noise, (addnoise,0)) - tb.connect(filtbank, head, (addnoise, 1)) - tb.connect(addnoise, channelizer) - tb.connect(addnoise, snk_synth) - - snk = list() - for i,si in enumerate(sigs): - tb.connect(si, fmtx[i], (filtbank, i)) - - for i in xrange(nchans): - snk.append(gr.vector_sink_c()) - tb.connect((channelizer, i), snk[i]) - - tb.run() - - if 1: - channel = 1 - data = snk[channel].data()[1000:] - - f1 = pylab.figure(1) - s1 = f1.add_subplot(1,1,1) - s1.plot(data[10000:10200] ) - s1.set_title(("Output Signal from Channel %d" % channel)) - - fftlen = 2048 - winfunc = scipy.blackman - #winfunc = scipy.hamming - - f2 = pylab.figure(2) - s2 = f2.add_subplot(1,1,1) - s2.psd(data, NFFT=fftlen, - Fs = nchans*fs, - noverlap=fftlen/4, - window = lambda d: d*winfunc(fftlen)) - s2.set_title(("Output PSD from Channel %d" % channel)) - - f3 = pylab.figure(3) - s3 = f3.add_subplot(1,1,1) - s3.psd(snk_synth.data()[1000:], NFFT=fftlen, - Fs = nchans*fs, - noverlap=fftlen/4, - window = lambda d: d*winfunc(fftlen)) - s3.set_title("Output of Synthesis Filter") - - pylab.show() - -if __name__ == "__main__": - main() |