From afc76414c6a8e76a8ba9fe336a25864eb2b008df Mon Sep 17 00:00:00 2001
From: Tom Rondeau <trondeau@vt.edu>
Date: Sat, 29 Dec 2012 20:31:48 -0500
Subject: utils: minor change to convert gr-utils to new stucture.
---
gr-utils/python/plot_fft_base.py | 249 +++++++++++++++++++++++++++++++++++++++
1 file changed, 249 insertions(+)
create mode 100755 gr-utils/python/plot_fft_base.py
(limited to 'gr-utils/python/plot_fft_base.py')
diff --git a/gr-utils/python/plot_fft_base.py b/gr-utils/python/plot_fft_base.py
new file mode 100755
index 0000000000..4afdc3a360
--- /dev/null
+++ b/gr-utils/python/plot_fft_base.py
@@ -0,0 +1,249 @@
+#!/usr/bin/env python
+#
+# Copyright 2007,2008,2011 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.
+#
+
+try:
+ import scipy
+ from scipy import fftpack
+except ImportError:
+ print "Please install SciPy to run this script (http://www.scipy.org/)"
+ raise SystemExit, 1
+
+try:
+ from pylab import *
+except ImportError:
+ print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)"
+ raise SystemExit, 1
+
+from optparse import OptionParser
+
+class plot_fft_base:
+ def __init__(self, datatype, filename, options):
+ self.hfile = open(filename, "r")
+ self.block_length = options.block
+ self.start = options.start
+ self.sample_rate = options.sample_rate
+
+ self.datatype = getattr(scipy, datatype)
+ self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
+
+ self.axis_font_size = 16
+ self.label_font_size = 18
+ self.title_font_size = 20
+ self.text_size = 22
+
+ # Setup PLOT
+ self.fig = figure(1, figsize=(16, 12), facecolor='w')
+ rcParams['xtick.labelsize'] = self.axis_font_size
+ rcParams['ytick.labelsize'] = self.axis_font_size
+
+ self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size)
+ self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size)
+ self.text_block = figtext(0.35, 0.88, ("Block Size: %d" % self.block_length),
+ weight="heavy", size=self.text_size)
+ self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate),
+ weight="heavy", size=self.text_size)
+ self.make_plots()
+
+ self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
+ self.button_left = Button(self.button_left_axes, "<")
+ self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
+
+ self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
+ self.button_right = Button(self.button_right_axes, ">")
+ self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
+
+ self.xlim = self.sp_iq.get_xlim()
+
+ self.manager = get_current_fig_manager()
+ connect('draw_event', self.zoom)
+ connect('key_press_event', self.click)
+ show()
+
+ def get_data(self):
+ self.position = self.hfile.tell()/self.sizeof_data
+ self.text_file_pos.set_text("File Position: %d" % (self.position))
+ try:
+ self.iq = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
+ except MemoryError:
+ print "End of File"
+ else:
+ self.iq_fft = self.dofft(self.iq)
+
+ tstep = 1.0 / self.sample_rate
+ #self.time = scipy.array([tstep*(self.position + i) for i in xrange(len(self.iq))])
+ self.time = scipy.array([tstep*(i) for i in xrange(len(self.iq))])
+
+ self.freq = self.calc_freq(self.time, self.sample_rate)
+
+ def dofft(self, iq):
+ N = len(iq)
+ iq_fft = scipy.fftpack.fftshift(scipy.fft(iq)) # fft and shift axis
+ iq_fft = 20*scipy.log10(abs((iq_fft+1e-15)/N)) # convert to decibels, adjust power
+ # adding 1e-15 (-300 dB) to protect against value errors if an item in iq_fft is 0
+ return iq_fft
+
+ def calc_freq(self, time, sample_rate):
+ N = len(time)
+ Fs = 1.0 / (time.max() - time.min())
+ Fn = 0.5 * sample_rate
+ freq = scipy.array([-Fn + i*Fs for i in xrange(N)])
+ return freq
+
+ def make_plots(self):
+ # if specified on the command-line, set file pointer
+ self.hfile.seek(self.sizeof_data*self.start, 1)
+
+ # Subplot for real and imaginary parts of signal
+ self.sp_iq = self.fig.add_subplot(2,2,1, position=[0.075, 0.2, 0.4, 0.6])
+ self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold")
+ self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
+ self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
+
+ # Subplot for FFT plot
+ self.sp_fft = self.fig.add_subplot(2,2,2, position=[0.575, 0.2, 0.4, 0.6])
+ self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold")
+ self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
+ self.sp_fft.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold")
+
+ self.get_data()
+
+ self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
+ self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
+ self.draw_time() # draw the plot
+
+ self.plot_fft = self.sp_fft.plot([], 'bo-') # make plot for FFT
+ self.draw_fft() # draw the plot
+
+ draw()
+
+ def draw_time(self):
+ reals = self.iq.real
+ imags = self.iq.imag
+ self.plot_iq[0].set_data([self.time, reals])
+ self.plot_iq[1].set_data([self.time, imags])
+ self.sp_iq.set_xlim(self.time.min(), self.time.max())
+ self.sp_iq.set_ylim([1.5*min([reals.min(), imags.min()]),
+ 1.5*max([reals.max(), imags.max()])])
+
+ def draw_fft(self):
+ self.plot_fft[0].set_data([self.freq, self.iq_fft])
+ self.sp_fft.set_xlim(self.freq.min(), self.freq.max())
+ self.sp_fft.set_ylim([self.iq_fft.min()-10, self.iq_fft.max()+10])
+
+ def update_plots(self):
+ self.draw_time()
+ self.draw_fft()
+
+ self.xlim = self.sp_iq.get_xlim()
+ draw()
+
+ def zoom(self, event):
+ newxlim = scipy.array(self.sp_iq.get_xlim())
+ curxlim = scipy.array(self.xlim)
+ if(newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):
+ self.xlim = newxlim
+ #xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0] - self.position))))
+ #xmax = min(int(ceil(self.sample_rate*(self.xlim[1] - self.position))), len(self.iq))
+ xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0]))))
+ xmax = min(int(ceil(self.sample_rate*(self.xlim[1]))), len(self.iq))
+
+ iq = self.iq[xmin : xmax]
+ time = self.time[xmin : xmax]
+
+ iq_fft = self.dofft(iq)
+ freq = self.calc_freq(time, self.sample_rate)
+
+ self.plot_fft[0].set_data(freq, iq_fft)
+ self.sp_fft.axis([freq.min(), freq.max(),
+ iq_fft.min()-10, iq_fft.max()+10])
+
+ draw()
+
+ def click(self, event):
+ forward_valid_keys = [" ", "down", "right"]
+ backward_valid_keys = ["up", "left"]
+
+ if(find(event.key, forward_valid_keys)):
+ self.step_forward()
+
+ elif(find(event.key, backward_valid_keys)):
+ self.step_backward()
+
+ def button_left_click(self, event):
+ self.step_backward()
+
+ def button_right_click(self, event):
+ self.step_forward()
+
+ def step_forward(self):
+ self.get_data()
+ self.update_plots()
+
+ def step_backward(self):
+ # Step back in file position
+ if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ):
+ self.hfile.seek(-2*self.sizeof_data*self.block_length, 1)
+ else:
+ self.hfile.seek(-self.hfile.tell(),1)
+ self.get_data()
+ self.update_plots()
+
+ @staticmethod
+ def setup_options():
+ usage="%prog: [options] input_filename"
+ description = "Takes a GNU Radio complex binary file and displays the I&Q data versus time as well as the frequency domain (FFT) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. This value defaults to 1000. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples."
+
+ parser = OptionParser(conflict_handler="resolve", usage=usage, description=description)
+ parser.add_option("-d", "--data-type", type="string", default="complex64",
+ help="Specify the data type (complex64, float32, (u)int32, (u)int16, (u)int8) [default=%default]")
+ parser.add_option("-B", "--block", type="int", default=1000,
+ help="Specify the block size [default=%default]")
+ parser.add_option("-s", "--start", type="int", default=0,
+ help="Specify where to start in the file [default=%default]")
+ parser.add_option("-R", "--sample-rate", type="float", default=1.0,
+ help="Set the sampler rate of the data [default=%default]")
+ return parser
+
+def find(item_in, list_search):
+ try:
+ return list_search.index(item_in) != None
+ except ValueError:
+ return False
+
+def main():
+ parser = plot_fft_base.setup_options()
+ (options, args) = parser.parse_args ()
+ if len(args) != 1:
+ parser.print_help()
+ raise SystemExit, 1
+ filename = args[0]
+
+ dc = plot_fft_base(options.data_type, filename, options)
+
+if __name__ == "__main__":
+ try:
+ main()
+ except KeyboardInterrupt:
+ pass
+
+
+
--
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