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-rw-r--r--[-rwxr-xr-x]gr-digital/python/digital/qa_cma_equalizer.py37
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:])