1 files changed, 0 insertions, 117 deletions
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 7e454d903..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_synthesis_filterbank_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()