diff options
Diffstat (limited to 'gr-digital/examples/example_costas.py')
| -rw-r--r-- | gr-digital/examples/example_costas.py | 27 |
1 files changed, 11 insertions, 16 deletions
diff --git a/gr-digital/examples/example_costas.py b/gr-digital/examples/example_costas.py index 56fc419013..d0f8d04f00 100644 --- a/gr-digital/examples/example_costas.py +++ b/gr-digital/examples/example_costas.py @@ -31,17 +31,12 @@ from gnuradio import eng_notation from gnuradio.eng_arg import eng_float, intx from argparse import ArgumentParser import sys +import numpy try: - import scipy + from matplotlib import pyplot except ImportError: - print("Error: could not import scipy (http://www.scipy.org/)") - sys.exit(1) - -try: - import pylab -except ImportError: - print("Error: could not import pylab (http://matplotlib.sourceforge.net/)") + print("Error: could not import pyplot (http://matplotlib.sourceforge.net/)") sys.exit(1) class example_costas(gr.top_block): @@ -51,8 +46,8 @@ class example_costas(gr.top_block): rrc_taps = filter.firdes.root_raised_cosine( sps, sps, 1.0, rolloff, ntaps) - data = 2.0*scipy.random.randint(0, 2, N) - 1.0 - data = scipy.exp(1j*poffset) * data + data = 2.0*numpy.random.randint(0, 2, N) - 1.0 + data = numpy.exp(1j*poffset) * data self.src = blocks.vector_source_c(data.tolist(), False) self.rrc = filter.interp_fir_filter_ccf(sps, rrc_taps) @@ -75,7 +70,7 @@ def main(): help="Set the samples per symbol [default=%(default)r]") parser.add_argument("-r", "--rolloff", type=eng_float, default=0.35, help="Set the rolloff factor [default=%(default)r]") - parser.add_argument("-W", "--bandwidth", type=eng_float, default=2*scipy.pi/100.0, + parser.add_argument("-W", "--bandwidth", type=eng_float, default=2*numpy.pi/100.0, help="Set the loop bandwidth [default=%(default)r]") parser.add_argument("-n", "--ntaps", type=int, default=45, help="Set the number of taps in the filters [default=%(default)r]") @@ -98,16 +93,16 @@ def main(): args.foffset, args.toffset, args.poffset) put.run() - data_src = scipy.array(put.vsnk_src.data()) + data_src = numpy.array(put.vsnk_src.data()) # Convert the FLL's LO frequency from rads/sec to Hz - data_frq = scipy.array(put.vsnk_frq.data()) / (2.0*scipy.pi) + data_frq = numpy.array(put.vsnk_frq.data()) / (2.0*numpy.pi) # adjust this to align with the data. - data_cst = scipy.array(3*[0,]+list(put.vsnk_cst.data())) + data_cst = numpy.array(3*[0,]+list(put.vsnk_cst.data())) # Plot the Costas loop's LO frequency - f1 = pylab.figure(1, figsize=(12,10), facecolor='w') + f1 = pyplot.figure(1, figsize=(12,10), facecolor='w') s1 = f1.add_subplot(2,2,1) s1.plot(data_frq) s1.set_title("Costas LO") @@ -133,7 +128,7 @@ def main(): s4.set_xlabel("Samples") s4.set_ylabel("Real Part of Signals") - pylab.show() + pyplot.show() if __name__ == "__main__": try: |