From faab807cf5e8b4a4c950d1fd8ae6672296fb1ad9 Mon Sep 17 00:00:00 2001
From: Tom Rondeau <trondeau@vt.edu>
Date: Tue, 3 Apr 2012 18:21:52 -0400
Subject: Rework example directories. Gets rid of gnuradio-examples, moves
these to more appropriate components.
gnuradio-core and grc now have their own examples directories for files directly related to them.
---
gnuradio-examples/python/pfb/resampler.py | 127 ------------------------------
1 file changed, 127 deletions(-)
delete mode 100755 gnuradio-examples/python/pfb/resampler.py
(limited to 'gnuradio-examples/python/pfb/resampler.py')
diff --git a/gnuradio-examples/python/pfb/resampler.py b/gnuradio-examples/python/pfb/resampler.py
deleted file mode 100755
index 7b296ca717..0000000000
--- 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()
-
--
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