diff options
| author | Josh Morman <mormjb@gmail.com> | 2020-04-28 12:25:46 -0400 |
|---|---|---|
| committer | Josh Morman <mormjb@gmail.com> | 2020-06-04 10:05:48 -0400 |
| commit | b9169c0c773eb3e035bda38a99847d88b566176e (patch) | |
| tree | 3ad936cdbef21af5cccb71e647a4483797dcbf85 /gr-digital/python/digital/qa_decision_feedback_equalizer.py | |
| parent | 9356302ff8894aad11202af42df8cf6096b241c5 (diff) | |
digital: add python bindings for equalizers+modulate_vector
Diffstat (limited to 'gr-digital/python/digital/qa_decision_feedback_equalizer.py')
| -rwxr-xr-x | gr-digital/python/digital/qa_decision_feedback_equalizer.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/gr-digital/python/digital/qa_decision_feedback_equalizer.py b/gr-digital/python/digital/qa_decision_feedback_equalizer.py index a29b783a3e..1a9d3abe79 100755 --- a/gr-digital/python/digital/qa_decision_feedback_equalizer.py +++ b/gr-digital/python/digital/qa_decision_feedback_equalizer.py @@ -106,7 +106,7 @@ class qa_linear_equalizer(gr_unittest.TestCase): preamble_symbols = self.map_symbols_to_constellation(self.unpack_values(self.preamble, 8, 2), cons) alg = digital.adaptive_algorithm_lms(cons, gain).base() - evm = digital.meas_evm_cc(cons, digital.evm_measurement_t_EVM_PERCENT) + evm = digital.meas_evm_cc(cons, digital.evm_measurement_t.EVM_PERCENT) dfe = digital.decision_feedback_equalizer(num_taps_fwd, num_taps_rev, self.sps, alg, True, preamble_symbols, 'corr_est') correst = digital.corr_est_cc(modulated_sync_word, self.sps, 12, corr_calc, digital.THRESHOLD_ABSOLUTE) constmod = digital.generic_mod( @@ -134,8 +134,8 @@ class qa_linear_equalizer(gr_unittest.TestCase): self.tb.run() # look at the last 1000 samples, should converge quickly, below 5% EVM - upper_bound = tuple(20.0*numpy.ones((num_test,))) - lower_bound = tuple(0.0*numpy.zeros((num_test,))) + upper_bound = list(20.0*numpy.ones((num_test,))) + lower_bound = list(0.0*numpy.zeros((num_test,))) output_data = vsi.data() output_data = output_data[-num_test:] self.assertLess(output_data, upper_bound) |