# 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
-from math import log10
-
-matplotlib.interactive(True)
-matplotlib.use('TkAgg')
-
-class draw_fft_c:
- def __init__(self, filename, options):
- self.hfile = open(filename, "r")
- self.block_length = options.block
- self.start = options.start
- self.sample_rate = options.sample_rate
-
- self.datatype = scipy.complex64
- 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, 9), 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(0.40, 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.text_file_pos.set_text("File Position: %d" % (self.hfile.tell()//self.sizeof_data))
- self.iq = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
- #print "Read in %d items" % len(self.iq)
- if(len(self.iq) == 0):
- print "End of File"
- else:
- self.reals = [r.real for r in self.iq]
- self.imags = [i.imag for i in self.iq]
-
- self.iq_fft = self.dofft(self.iq)
-
- self.time = [i*(1/self.sample_rate) for i in range(len(self.reals))]
- self.freq = self.calc_freq(self.time, self.sample_rate)
-
-
- def dofft(self, iq):
- N = len(iq)
- iq_fft = fftpack.fftshift(scipy.fft(iq)) # fft and shift axis
- iq_fft = [20*log10(abs(i/N)) for i in iq_fft] # convert to decibels, adjust power
- return iq_fft
-
- def calc_freq(self, time, sample_rate):
- N = len(time)
- Fs = 1.0 / (max(time) - min(time))
- Fn = 0.5 * sample_rate
- freq = [-Fn + i*Fs for i in range(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)
-
- self.get_data()
-
- # Subplot for real and imaginary parts of signal
- self.sp_iq = self.fig.add_subplot(2,1,1, 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")
- self.plot_iq = plot(self.time, self.reals, 'bo-', self.time, self.imags, 'ro-')
- self.sp_iq.set_ylim([1.5*min([min(self.reals), min(self.imags)]),
- 1.5*max([max(self.reals), max(self.imags)])])
-
- # Subplot for constellation plot
- self.sp_fft = self.fig.add_subplot(2,2,1, 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 (dBm)", fontsize=self.label_font_size, fontweight="bold")
- self.plot_fft = plot(self.freq, self.iq_fft, '-bo')
- self.sp_fft.set_ylim([min(self.iq_fft)-10, max(self.iq_fft)+10])
-
- draw()
-
- def update_plots(self):
- self.plot_iq[0].set_data([self.time, self.reals])
- self.plot_iq[1].set_data([self.time, self.imags])
- self.sp_iq.set_ylim([1.5*min([min(self.reals), min(self.imags)]),
- 1.5*max([max(self.reals), max(self.imags)])])
-
- self.plot_fft[0].set_data([self.freq, self.iq_fft])
- self.sp_fft.set_ylim([min(self.iq_fft)-10, max(self.iq_fft)+10])
-
- draw()
-
- def zoom(self, event):
- newxlim = self.sp_iq.get_xlim()
- if(newxlim != self.xlim):
- self.xlim = newxlim
- 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([min(freq), max(freq),
- min(iq_fft)-10, max(iq_fft)+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()
-
-def find(item_in, list_search):
- try:
- return list_search.index(item_in) != None
- except ValueError:
- return False
+import gr_plot_fft
def main():
- 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("-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]")
+ parser = gr_plot_fft.setup_options()
+ parser.remove_option("--data-type")
(options, args) = parser.parse_args ()
if len(args) != 1:
raise SystemExit, 1
filename = args[0]
- dc = draw_fft_c(filename, options)
+ dc = gr_plot_fft.gr_plot_fft("complex64", filename, options)
if __name__ == "__main__":
try:
projects / debian / gnuradio / blobdiff