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
124
125
126
127
128
129
130
131
|
/* -*- c++ -*- */
/*
* Copyright 2002 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.
*/
#include <cppunit/TestAssert.h>
#include <qa_convolutional_interleaver.h>
void
qa_convolutional_interleaver::t0 ()
{
static int input[16] = {
1, 2, 3, 4,
5, 6, 7, 8,
9, 10, 11, 12,
13, 14, 15, 16
};
static int output[16] = {
1, 0, 0, 0,
5, 2, 0, 0,
9, 6, 3, 0,
13, 10, 7, 4
};
// test interleaver
intl = new convolutional_interleaver<int>(true, 4, 1);
for (int i = 0; i < 16; i++)
CPPUNIT_ASSERT_EQUAL (output[i], intl->transform (input[i]));
}
void
qa_convolutional_interleaver::t1 ()
{
static int input[16] = {
1, 0, 0, 0,
5, 2, 0, 0,
9, 6, 3, 0,
13, 10, 7, 4
};
static int output[16] = {
0, 0, 0, 0,
0, 0, 0, 0,
0, 0, 0, 0,
1, 2, 3, 4
};
// test deinterleaver
intl = new convolutional_interleaver<int>(false, 4, 1);
for (int i = 0; i < 16; i++)
CPPUNIT_ASSERT_EQUAL (output[i], intl->transform (input[i]));
}
void
qa_convolutional_interleaver::t2 ()
{
intl = new convolutional_interleaver<int>(true, 4, 1);
deintl = new convolutional_interleaver<int>(false, 4, 1);
int icount = 6000;
int dcount = 6000;
int end_to_end_delay = intl->end_to_end_delay ();
for (int i = 0; i < end_to_end_delay; i++){
CPPUNIT_ASSERT_EQUAL (0, deintl->transform (intl->transform (icount++)));
}
for (int i = 0; i < 3 * end_to_end_delay; i++){
CPPUNIT_ASSERT_EQUAL (dcount++, deintl->transform (intl->transform (icount++)));
}
}
void
qa_convolutional_interleaver::t3 ()
{
intl = new convolutional_interleaver<int>(true, 4, 2);
deintl = new convolutional_interleaver<int>(false, 4, 2);
int icount = 6000;
int dcount = 6000;
int end_to_end_delay = intl->end_to_end_delay ();
for (int i = 0; i < end_to_end_delay; i++){
CPPUNIT_ASSERT_EQUAL (0, deintl->transform (intl->transform (icount++)));
}
for (int i = 0; i < 3 * end_to_end_delay; i++){
CPPUNIT_ASSERT_EQUAL (dcount++, deintl->transform (intl->transform (icount++)));
}
}
void
qa_convolutional_interleaver::t4 ()
{
intl = new convolutional_interleaver<int>(true, 52, 4);
deintl = new convolutional_interleaver<int>(false, 52, 4);
int icount = 6000;
int dcount = 6000;
int end_to_end_delay = intl->end_to_end_delay ();
CPPUNIT_ASSERT_EQUAL (10608, end_to_end_delay);
for (int i = 0; i < end_to_end_delay; i++){
CPPUNIT_ASSERT_EQUAL (0, deintl->transform (intl->transform (icount++)));
}
for (int i = 0; i < 3 * end_to_end_delay; i++){
CPPUNIT_ASSERT_EQUAL (dcount++, deintl->transform (intl->transform (icount++)));
}
}
|
