diff options
Diffstat (limited to 'gr-digital/python/digital/qa_cma_equalizer.py')
-rw-r--r--[-rwxr-xr-x] | gr-digital/python/digital/qa_cma_equalizer.py | 37 |
1 files changed, 19 insertions, 18 deletions
diff --git a/gr-digital/python/digital/qa_cma_equalizer.py b/gr-digital/python/digital/qa_cma_equalizer.py index 6da391f70c..228d951640 100755..100644 --- a/gr-digital/python/digital/qa_cma_equalizer.py +++ b/gr-digital/python/digital/qa_cma_equalizer.py @@ -1,48 +1,49 @@ #!/usr/bin/env python # # Copyright 2006,2007,2010,2011,2013 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. -# +# + from gnuradio import gr, gr_unittest, digital, blocks class test_cma_equalizer_fir(gr_unittest.TestCase): def setUp(self): - self.tb = gr.top_block() + self.tb = gr.top_block() def tearDown(self): - self.tb = None - + self.tb = None + def transform(self, src_data): - SRC = blocks.vector_source_c(src_data, False) - EQU = digital.cma_equalizer_cc(4, 1.0, .001, 1) - DST = blocks.vector_sink_c() - self.tb.connect(SRC, EQU, DST) - self.tb.run() - return DST.data() + SRC = blocks.vector_source_c(src_data, False) + EQU = digital.cma_equalizer_cc(4, 1.0, .001, 1) + DST = blocks.vector_sink_c() + self.tb.connect(SRC, EQU, DST) + self.tb.run() + return DST.data() def test_001_identity(self): - # Constant modulus signal so no adjustments - src_data = (1+0j, 0+1j, -1+0j, 0-1j)*1000 - expected_data = src_data - result = self.transform(src_data) + # Constant modulus signal so no adjustments + src_data = (1+0j, 0+1j, -1+0j, 0-1j)*1000 + expected_data = src_data + result = self.transform(src_data) N = -500 self.assertComplexTuplesAlmostEqual(expected_data[N:], result[N:]) |