3 # Copyright 2007,2008,2011 Free Software Foundation, Inc.
5 # This file is part of GNU Radio
7 # GNU Radio is free software; you can redistribute it and/or modify
8 # it under the terms of the GNU General Public License as published by
9 # the Free Software Foundation; either version 3, or (at your option)
12 # GNU Radio is distributed in the hope that it will be useful,
13 # but WITHOUT ANY WARRANTY; without even the implied warranty of
14 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 # GNU General Public License for more details.
17 # You should have received a copy of the GNU General Public License
18 # along with GNU Radio; see the file COPYING. If not, write to
19 # the Free Software Foundation, Inc., 51 Franklin Street,
20 # Boston, MA 02110-1301, USA.
25 from scipy import fftpack
27 print "Please install SciPy to run this script (http://www.scipy.org/)"
33 print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)"
36 from optparse import OptionParser
39 def __init__(self, datatype, filename, options):
40 self.hfile = open(filename, "r")
41 self.block_length = options.block
42 self.start = options.start
43 self.sample_rate = options.sample_rate
45 self.datatype = getattr(scipy, datatype)
46 self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
48 self.axis_font_size = 16
49 self.label_font_size = 18
50 self.title_font_size = 20
54 self.fig = figure(1, figsize=(16, 12), facecolor='w')
55 rcParams['xtick.labelsize'] = self.axis_font_size
56 rcParams['ytick.labelsize'] = self.axis_font_size
58 self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size)
59 self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size)
60 self.text_block = figtext(0.35, 0.88, ("Block Size: %d" % self.block_length),
61 weight="heavy", size=self.text_size)
62 self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate),
63 weight="heavy", size=self.text_size)
66 self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
67 self.button_left = Button(self.button_left_axes, "<")
68 self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
70 self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
71 self.button_right = Button(self.button_right_axes, ">")
72 self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
74 self.xlim = self.sp_iq.get_xlim()
76 self.manager = get_current_fig_manager()
77 connect('draw_event', self.zoom)
78 connect('key_press_event', self.click)
82 self.position = self.hfile.tell()/self.sizeof_data
83 self.text_file_pos.set_text("File Position: %d" % (self.position))
85 self.iq = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
89 self.iq_fft = self.dofft(self.iq)
91 tstep = 1.0 / self.sample_rate
92 #self.time = scipy.array([tstep*(self.position + i) for i in xrange(len(self.iq))])
93 self.time = scipy.array([tstep*(i) for i in xrange(len(self.iq))])
95 self.freq = self.calc_freq(self.time, self.sample_rate)
99 iq_fft = fftpack.fftshift(scipy.fft(iq)) # fft and shift axis
100 iq_fft = 20*scipy.log10(abs((iq_fft+1e-15)/N)) # convert to decibels, adjust power
101 # adding 1e-15 (-300 dB) to protect against value errors if an item in iq_fft is 0
104 def calc_freq(self, time, sample_rate):
106 Fs = 1.0 / (time.max() - time.min())
107 Fn = 0.5 * sample_rate
108 freq = scipy.array([-Fn + i*Fs for i in xrange(N)])
111 def make_plots(self):
112 # if specified on the command-line, set file pointer
113 self.hfile.seek(self.sizeof_data*self.start, 1)
115 # Subplot for real and imaginary parts of signal
116 self.sp_iq = self.fig.add_subplot(2,2,1, position=[0.075, 0.2, 0.4, 0.6])
117 self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold")
118 self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
119 self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
121 # Subplot for FFT plot
122 self.sp_fft = self.fig.add_subplot(2,2,2, position=[0.575, 0.2, 0.4, 0.6])
123 self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold")
124 self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
125 self.sp_fft.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold")
129 self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
130 self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
131 self.draw_time() # draw the plot
133 self.plot_fft = self.sp_fft.plot([], 'bo-') # make plot for FFT
134 self.draw_fft() # draw the plot
141 self.plot_iq[0].set_data([self.time, reals])
142 self.plot_iq[1].set_data([self.time, imags])
143 self.sp_iq.set_xlim(self.time.min(), self.time.max())
144 self.sp_iq.set_ylim([1.5*min([reals.min(), imags.min()]),
145 1.5*max([reals.max(), imags.max()])])
148 self.plot_fft[0].set_data([self.freq, self.iq_fft])
149 self.sp_fft.set_xlim(self.freq.min(), self.freq.max())
150 self.sp_fft.set_ylim([self.iq_fft.min()-10, self.iq_fft.max()+10])
152 def update_plots(self):
156 self.xlim = self.sp_iq.get_xlim()
159 def zoom(self, event):
160 newxlim = scipy.array(self.sp_iq.get_xlim())
161 curxlim = scipy.array(self.xlim)
162 if(newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):
164 #xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0] - self.position))))
165 #xmax = min(int(ceil(self.sample_rate*(self.xlim[1] - self.position))), len(self.iq))
166 xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0]))))
167 xmax = min(int(ceil(self.sample_rate*(self.xlim[1]))), len(self.iq))
169 iq = self.iq[xmin : xmax]
170 time = self.time[xmin : xmax]
172 iq_fft = self.dofft(iq)
173 freq = self.calc_freq(time, self.sample_rate)
175 self.plot_fft[0].set_data(freq, iq_fft)
176 self.sp_fft.axis([freq.min(), freq.max(),
177 iq_fft.min()-10, iq_fft.max()+10])
181 def click(self, event):
182 forward_valid_keys = [" ", "down", "right"]
183 backward_valid_keys = ["up", "left"]
185 if(find(event.key, forward_valid_keys)):
188 elif(find(event.key, backward_valid_keys)):
191 def button_left_click(self, event):
194 def button_right_click(self, event):
197 def step_forward(self):
201 def step_backward(self):
202 # Step back in file position
203 if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ):
204 self.hfile.seek(-2*self.sizeof_data*self.block_length, 1)
206 self.hfile.seek(-self.hfile.tell(),1)
210 def find(item_in, list_search):
212 return list_search.index(item_in) != None
217 usage="%prog: [options] input_filename"
218 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."
220 parser = OptionParser(conflict_handler="resolve", usage=usage, description=description)
221 parser.add_option("-d", "--data-type", type="string", default="complex64",
222 help="Specify the data type (complex64, float32, (u)int32, (u)int16, (u)int8) [default=%default]")
223 parser.add_option("-B", "--block", type="int", default=1000,
224 help="Specify the block size [default=%default]")
225 parser.add_option("-s", "--start", type="int", default=0,
226 help="Specify where to start in the file [default=%default]")
227 parser.add_option("-R", "--sample-rate", type="float", default=1.0,
228 help="Set the sampler rate of the data [default=%default]")
232 parser = setup_options()
233 (options, args) = parser.parse_args ()
239 dc = gr_plot_fft(options.data_type, filename, options)
241 if __name__ == "__main__":
244 except KeyboardInterrupt: