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-rwxr-xr-xgr-cvsd-vocoder/src/python/qa_cvsd_vocoder.py112
1 files changed, 112 insertions, 0 deletions
diff --git a/gr-cvsd-vocoder/src/python/qa_cvsd_vocoder.py b/gr-cvsd-vocoder/src/python/qa_cvsd_vocoder.py
new file mode 100755
index 000000000..d20b5eefa
--- /dev/null
+++ b/gr-cvsd-vocoder/src/python/qa_cvsd_vocoder.py
@@ -0,0 +1,112 @@
+#!/usr/bin/env python
+#
+# Copyright 2007 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 2, 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, blks
+import cvsd_vocoder
+
+class qa_cvsd_test (gr_unittest.TestCase):
+
+ def setUp (self):
+ self.fg = gr.flow_graph ()
+
+ def tearDown (self):
+ self.fg = None
+
+ def test01(self):
+ sample_rate = 8000
+ scale_factor = 32000
+
+ expected_data = (6.9670547250243192e-21, -2.4088578356895596e-05,
+ -5.1261918997624889e-05, 7.2410854045301676e-05,
+ 8.444241393590346e-05, -1.2537107068055775e-05,
+ 0.00024186755763366818, -0.00060463894624263048,
+ 0.00064864184241741896, 0.010409165173768997,
+ 0.0087582804262638092, 0.017965050414204597,
+ 0.010722399689257145, 0.006602009292691946,
+ 0.02213001623749733, 0.0079685859382152557,
+ 0.033707316964864731, 0.027021972462534904,
+ 0.0086071854457259178, 0.0081678871065378189,
+ 0.039343506097793579, 0.030671956017613411,
+ 0.029626710340380669, 0.020126519724726677,
+ 0.023636780679225922, 0.0064640454947948456,
+ -0.0038861562497913837, 0.0021134600974619389,
+ -0.0088051930069923401, -0.00023228264763019979,
+ -0.033737499266862869, -0.033141419291496277,
+ -0.037145044654607773, -0.0080892946571111679,
+ -0.077117636799812317, -0.078382067382335663,
+ -0.055503919720649719, -0.019355267286300659,
+ -0.022441385313868523, -0.073706060647964478,
+ -0.054677654057741165, -0.047119375318288803,
+ -0.044418536126613617, -0.036084383726119995,
+ -0.0206278245896101, -0.031200021505355835,
+ -0.0004070434661116451, 0.0006594572332687676,
+ -0.016584658995270729, 0.07387717068195343,
+ -0.0063191778026521206, 0.051200628280639648,
+ -0.029480356723070145, 0.05176771804690361,
+ 0.038578659296035767, 0.026550088077783585,
+ 0.067103870213031769, 0.001888439292088151,
+ 0.28141644597053528, 0.49543789029121399,
+ 0.6626054048538208, 0.79180729389190674,
+ 0.89210402965545654, 0.96999943256378174,
+ 1.0261462926864624, 1.0267977714538574,
+ 1.0251555442810059, 1.0265737771987915,
+ 1.0278496742248535, 1.0208886861801147,
+ 1.0325057506561279, 0.91415292024612427,
+ 0.83941859006881714, 0.67373806238174438,
+ 0.51683622598648071, 0.38949671387672424,
+ 0.16016888618469238, 0.049505095928907394,
+ -0.16699212789535522, -0.26886492967605591,
+ -0.49256673455238342, -0.59178370237350464,
+ -0.73317724466323853, -0.78922677040100098,
+ -0.88782668113708496, -0.96708977222442627,
+ -0.96490746736526489, -0.94962418079376221,
+ -0.94716215133666992, -0.93755108118057251,
+ -0.84852480888366699, -0.80485564470291138,
+ -0.69762390851974487, -0.58398681879043579,
+ -0.45891636610031128, -0.29681697487831116,
+ -0.16035343706607819, 0.014823081903159618,
+ 0.16282452642917633, 0.33802291750907898)
+
+ src = gr.sig_source_f(sample_rate, gr.GR_SIN_WAVE, 200, 1, 0)
+ head = gr.head(gr.sizeof_float, 100)
+ src_scale = gr.multiply_const_ff(scale_factor)
+
+ interp = blks.rational_resampler_fff(self.fg, 8, 1)
+ f2s = gr.float_to_short ()
+
+ enc = cvsd_vocoder.encode_sb()
+ dec = cvsd_vocoder.decode_bs()
+
+ s2f = gr.short_to_float ()
+ decim = blks.rational_resampler_fff(self.fg, 1, 8)
+
+ sink_scale = gr.multiply_const_ff(1.0/scale_factor)
+ sink = gr.vector_sink_f()
+
+ self.fg.connect(src, head, src_scale, interp, f2s, enc)
+ self.fg.connect(enc, dec, s2f, decim, sink_scale, sink)
+ self.fg.run()
+
+ self.assertFloatTuplesAlmostEqual (expected_data, sink.data(), 5)
+
+if __name__ == '__main__':
+ gr_unittest.main ()