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#
# Copyright 2008,2009 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.
#
##################################################
# Imports
##################################################
import fft_window
import common
from gnuradio import gr, blks2
from pubsub import pubsub
from constants import *
import math
##################################################
# FFT sink block (wrapper for old wxgui)
##################################################
class _fft_sink_base(gr.hier_block2, common.wxgui_hb):
"""
An fft block with real/complex inputs and a gui window.
"""
def __init__(
self,
parent,
baseband_freq=0,
ref_scale=2.0,
y_per_div=10,
y_divs=8,
ref_level=50,
sample_rate=1,
fft_size=512,
fft_rate=fft_window.DEFAULT_FRAME_RATE,
average=False,
avg_alpha=None,
title='',
size=fft_window.DEFAULT_WIN_SIZE,
peak_hold=False,
win=None,
emulate_analog=False,
analog_alpha=None,
**kwargs #do not end with a comma
):
#ensure avg alpha
if avg_alpha is None: avg_alpha = 2.0/fft_rate
#ensure analog alpha
if analog_alpha is None:
actual_fft_rate=float(sample_rate/fft_size)/float(max(1,int(float((sample_rate/fft_size)/fft_rate))))
#print "requested_fft_rate ",fft_rate
#print "actual_fft_rate ",actual_fft_rate
analog_cutoff_freq=0.5 # Hertz
#calculate alpha from wanted cutoff freq
analog_alpha = 1.0 - math.exp(-2.0*math.pi*analog_cutoff_freq/actual_fft_rate)
#init
gr.hier_block2.__init__(
self,
"fft_sink",
gr.io_signature(1, 1, self._item_size),
gr.io_signature(0, 0, 0),
)
#blocks
fft = self._fft_chain(
sample_rate=sample_rate,
fft_size=fft_size,
frame_rate=fft_rate,
ref_scale=ref_scale,
avg_alpha=avg_alpha,
average=average,
win=win,
)
msgq = gr.msg_queue(2)
sink = gr.message_sink(gr.sizeof_float*fft_size, msgq, True)
#controller
self.controller = pubsub()
self.controller.subscribe(AVERAGE_KEY, fft.set_average)
self.controller.publish(AVERAGE_KEY, fft.average)
self.controller.subscribe(AVG_ALPHA_KEY, fft.set_avg_alpha)
self.controller.publish(AVG_ALPHA_KEY, fft.avg_alpha)
self.controller.subscribe(SAMPLE_RATE_KEY, fft.set_sample_rate)
self.controller.publish(SAMPLE_RATE_KEY, fft.sample_rate)
#start input watcher
common.input_watcher(msgq, self.controller, MSG_KEY)
#create window
self.win = fft_window.fft_window(
parent=parent,
controller=self.controller,
size=size,
title=title,
real=self._real,
fft_size=fft_size,
baseband_freq=baseband_freq,
sample_rate_key=SAMPLE_RATE_KEY,
y_per_div=y_per_div,
y_divs=y_divs,
ref_level=ref_level,
average_key=AVERAGE_KEY,
avg_alpha_key=AVG_ALPHA_KEY,
peak_hold=peak_hold,
msg_key=MSG_KEY,
emulate_analog=emulate_analog,
analog_alpha=analog_alpha,
)
common.register_access_methods(self, self.win)
setattr(self.win, 'set_baseband_freq', getattr(self, 'set_baseband_freq')) #BACKWARDS
setattr(self.win, 'set_peak_hold', getattr(self, 'set_peak_hold')) #BACKWARDS
#connect
self.wxgui_connect(self, fft, sink)
class fft_sink_f(_fft_sink_base):
_fft_chain = blks2.logpwrfft_f
_item_size = gr.sizeof_float
_real = True
class fft_sink_c(_fft_sink_base):
_fft_chain = blks2.logpwrfft_c
_item_size = gr.sizeof_gr_complex
_real = False
# ----------------------------------------------------------------
# Standalone test app
# ----------------------------------------------------------------
import wx
from gnuradio.wxgui import stdgui2
class test_app_block (stdgui2.std_top_block):
def __init__(self, frame, panel, vbox, argv):
stdgui2.std_top_block.__init__ (self, frame, panel, vbox, argv)
fft_size = 256
# build our flow graph
input_rate = 2048.0e3
#Generate some noise
noise =gr.noise_source_c(gr.GR_UNIFORM, 1.0/10)
# Generate a complex sinusoid
#src1 = gr.sig_source_c (input_rate, gr.GR_SIN_WAVE, 2e3, 1)
src1 = gr.sig_source_c (input_rate, gr.GR_CONST_WAVE, 57.50e3, 1)
# We add these throttle blocks so that this demo doesn't
# suck down all the CPU available. Normally you wouldn't use these.
thr1 = gr.throttle(gr.sizeof_gr_complex, input_rate)
sink1 = fft_sink_c (panel, title="Complex Data", fft_size=fft_size,
sample_rate=input_rate, baseband_freq=100e3,
ref_level=0, y_per_div=20, y_divs=10)
vbox.Add (sink1.win, 1, wx.EXPAND)
combine1=gr.add_cc()
self.connect(src1, (combine1,0))
self.connect(noise,(combine1,1))
self.connect(combine1,thr1, sink1)
#src2 = gr.sig_source_f (input_rate, gr.GR_SIN_WAVE, 2e3, 1)
src2 = gr.sig_source_f (input_rate, gr.GR_CONST_WAVE, 57.50e3, 1)
thr2 = gr.throttle(gr.sizeof_float, input_rate)
sink2 = fft_sink_f (panel, title="Real Data", fft_size=fft_size*2,
sample_rate=input_rate, baseband_freq=100e3,
ref_level=0, y_per_div=20, y_divs=10)
vbox.Add (sink2.win, 1, wx.EXPAND)
combine2=gr.add_ff()
c2f2=gr.complex_to_float()
self.connect(src2, (combine2,0))
self.connect(noise,c2f2,(combine2,1))
self.connect(combine2, thr2,sink2)
def main ():
app = stdgui2.stdapp (test_app_block, "FFT Sink Test App")
app.MainLoop ()
if __name__ == '__main__':
main ()
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