3 # Copyright 2007,2008 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
37 from scipy import log10
40 def __init__(self, datatype, filename, options):
41 self.hfile = open(filename, "r")
42 self.block_length = options.block
43 self.start = options.start
44 self.sample_rate = options.sample_rate
45 self.psdfftsize = options.psd_size
46 self.specfftsize = options.spec_size
48 self.dospec = options.enable_spec # if we want to plot the spectrogram
50 self.datatype = getattr(scipy, datatype) #scipy.complex64
51 self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
53 self.axis_font_size = 16
54 self.label_font_size = 18
55 self.title_font_size = 20
59 self.fig = figure(1, figsize=(16, 12), facecolor='w')
60 rcParams['xtick.labelsize'] = self.axis_font_size
61 rcParams['ytick.labelsize'] = self.axis_font_size
63 self.text_file = figtext(0.10, 0.95, ("File: %s" % filename),
64 weight="heavy", size=self.text_size)
65 self.text_file_pos = figtext(0.10, 0.92, "File Position: ",
66 weight="heavy", size=self.text_size)
67 self.text_block = figtext(0.35, 0.92, ("Block Size: %d" % self.block_length),
68 weight="heavy", size=self.text_size)
69 self.text_sr = figtext(0.60, 0.915, ("Sample Rate: %.2f" % self.sample_rate),
70 weight="heavy", size=self.text_size)
73 self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
74 self.button_left = Button(self.button_left_axes, "<")
75 self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
77 self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
78 self.button_right = Button(self.button_right_axes, ">")
79 self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
81 self.xlim = self.sp_iq.get_xlim()
83 self.manager = get_current_fig_manager()
84 connect('draw_event', self.zoom)
85 connect('key_press_event', self.click)
89 self.position = self.hfile.tell()/self.sizeof_data
90 self.text_file_pos.set_text("File Position: %d" % self.position)
92 self.iq = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
96 tstep = 1.0 / self.sample_rate
97 self.time = scipy.array([tstep*(self.position + i) for i in xrange(len(self.iq))])
99 self.iq_psd, self.freq = self.dopsd(self.iq)
102 ''' Need to do this here and plot later so we can do the fftshift '''
103 overlap = self.psdfftsize/4
104 winfunc = scipy.blackman
105 psd,freq = self.sp_psd.psd(iq, self.psdfftsize, self.sample_rate,
106 window = lambda d: d*winfunc(self.psdfftsize),
107 noverlap = overlap, visible=False)
108 psd = 10.0*log10(abs(fftpack.fftshift(psd)))
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 iqdims = [[0.075, 0.2, 0.4, 0.6], [0.075, 0.55, 0.4, 0.3]]
116 psddims = [[0.575, 0.2, 0.4, 0.6], [0.575, 0.55, 0.4, 0.3]]
117 specdims = [0.2, 0.125, 0.6, 0.3]
119 # Subplot for real and imaginary parts of signal
120 self.sp_iq = self.fig.add_subplot(2,2,1, position=iqdims[self.dospec])
121 self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold")
122 self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
123 self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
125 # Subplot for PSD plot
126 self.sp_psd = self.fig.add_subplot(2,2,2, position=psddims[self.dospec])
127 self.sp_psd.set_title(("PSD"), fontsize=self.title_font_size, fontweight="bold")
128 self.sp_psd.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
129 self.sp_psd.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold")
133 self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
134 self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
135 self.draw_time() # draw the plot
137 self.plot_psd = self.sp_psd.plot([], 'b') # make plot for PSD
138 self.draw_psd() # draw the plot
142 # Subplot for spectrogram plot
143 self.sp_spec = self.fig.add_subplot(2,2,3, position=specdims)
144 self.sp_spec.set_title(("Spectrogram"), fontsize=self.title_font_size, fontweight="bold")
145 self.sp_spec.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
146 self.sp_spec.set_ylabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
155 self.plot_iq[0].set_data([self.time, reals])
156 self.plot_iq[1].set_data([self.time, imags])
157 self.sp_iq.set_xlim(self.time.min(), self.time.max())
158 self.sp_iq.set_ylim([1.5*min([reals.min(), imags.min()]),
159 1.5*max([reals.max(), imags.max()])])
162 self.plot_psd[0].set_data([self.freq, self.iq_psd])
163 self.sp_psd.set_ylim([self.iq_psd.min()-10, self.iq_psd.max()+10])
164 self.sp_psd.set_xlim([self.freq.min(), self.freq.max()])
167 overlap = self.specfftsize/4
168 winfunc = scipy.blackman
170 self.sp_spec.specgram(self.iq, self.specfftsize, self.sample_rate,
171 window = lambda d: d*winfunc(self.specfftsize),
172 noverlap = overlap, xextent=[self.time.min(), self.time.max()])
174 def update_plots(self):
181 self.xlim = self.sp_iq.get_xlim() # so zoom doesn't get called
184 def zoom(self, event):
185 newxlim = scipy.array(self.sp_iq.get_xlim())
186 curxlim = scipy.array(self.xlim)
187 if(newxlim.all() != curxlim.all()):
189 xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0] - self.position))))
190 xmax = min(int(ceil(self.sample_rate*(self.xlim[1] - self.position))), len(self.iq))
192 iq = self.iq[xmin : xmax]
193 time = self.time[xmin : xmax]
195 iq_psd, freq = self.dopsd(iq)
197 self.plot_psd[0].set_data(freq, iq_psd)
198 self.sp_psd.axis([freq.min(), freq.max(),
199 iq_psd.min()-10, iq_psd.max()+10])
203 def click(self, event):
204 forward_valid_keys = [" ", "down", "right"]
205 backward_valid_keys = ["up", "left"]
207 if(find(event.key, forward_valid_keys)):
210 elif(find(event.key, backward_valid_keys)):
213 def button_left_click(self, event):
216 def button_right_click(self, event):
219 def step_forward(self):
223 def step_backward(self):
224 # Step back in file position
225 if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ):
226 self.hfile.seek(-2*self.sizeof_data*self.block_length, 1)
228 self.hfile.seek(-self.hfile.tell(),1)
232 def find(item_in, list_search):
234 return list_search.index(item_in) != None
239 usage="%prog: [options] input_filename"
240 description = "Takes a GNU Radio binary file (with specified data type using --data-type) and displays the I&Q data versus time as well as the power spectral density (PSD) 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. 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. Finally, the size of the FFT to use for the PSD and spectrogram plots can be set independently with --psd-size and --spec-size, respectively. The spectrogram plot does not display by default and is turned on with -S or --enable-spec."
242 parser = OptionParser(conflict_handler="resolve", usage=usage, description=description)
243 parser.add_option("-d", "--data-type", type="string", default="complex64",
244 help="Specify the data type (complex64, float32, (u)int32, (u)int16, (u)int8) [default=%default]")
245 parser.add_option("-B", "--block", type="int", default=8192,
246 help="Specify the block size [default=%default]")
247 parser.add_option("-s", "--start", type="int", default=0,
248 help="Specify where to start in the file [default=%default]")
249 parser.add_option("-R", "--sample-rate", type="float", default=1.0,
250 help="Set the sampler rate of the data [default=%default]")
251 parser.add_option("", "--psd-size", type="int", default=1024,
252 help="Set the size of the PSD FFT [default=%default]")
253 parser.add_option("", "--spec-size", type="int", default=256,
254 help="Set the size of the spectrogram FFT [default=%default]")
255 parser.add_option("-S", "--enable-spec", action="store_true", default=False,
256 help="Turn on plotting the spectrogram [default=%default]")
261 parser = setup_options()
262 (options, args) = parser.parse_args ()
268 dc = gr_plot_psd(options.data_type, filename, options)
270 if __name__ == "__main__":
273 except KeyboardInterrupt: