diff options
Diffstat (limited to 'gr-digital/python/digital/qa_linear_equalizer.py')
| -rwxr-xr-x | gr-digital/python/digital/qa_linear_equalizer.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/gr-digital/python/digital/qa_linear_equalizer.py b/gr-digital/python/digital/qa_linear_equalizer.py index d7a4a597f3..522575db54 100755 --- a/gr-digital/python/digital/qa_linear_equalizer.py +++ b/gr-digital/python/digital/qa_linear_equalizer.py @@ -104,7 +104,7 @@ 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) leq = digital.linear_equalizer(num_taps, self.sps, alg, False, preamble_symbols, 'corr_est') correst = digital.corr_est_cc(modulated_sync_word, self.sps, 12, corr_calc, digital.THRESHOLD_ABSOLUTE) constmod = digital.generic_mod( @@ -130,8 +130,8 @@ 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) |