1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
|
#!/usr/bin/env python
#
# Copyright 2007,2010,2011 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
from vocoder_swig import *
from cvsd import *
class test_cvsd_vocoder (gr_unittest.TestCase):
def setUp (self):
self.tb = gr.top_block()
def tearDown (self):
self.tb = None
def test001_module_load (self):
raw_enc = cvsd_encode_sb();
raw_dec = cvsd_decode_bs();
hb_enc = cvsd_encode_fb();
hb_dec = cvsd_decode_bf();
""" Disable for now
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 = blks2.rational_resampler_fff(8, 1)
f2s = gr.float_to_short ()
enc = cvsd_vocoder.encode_sb()
dec = cvsd_vocoder.decode_bs()
s2f = gr.short_to_float ()
decim = blks2.rational_resampler_fff(1, 8)
sink_scale = gr.multiply_const_ff(1.0/scale_factor)
sink = gr.vector_sink_f()
self.tb.connect(src, src_scale, interp, f2s, enc)
self.tb.connect(enc, dec, s2f, decim, sink_scale, head, sink)
self.tb.run()
print sink.data()
self.assertFloatTuplesAlmostEqual (expected_data, sink.data(), 5)
"""
if __name__ == '__main__':
gr_unittest.run(test_cvsd_vocoder, "test_cvsd_vocoder.xml")
|