5. ПРИЛОЖЕНИЯ
Приложение А – Значения функций
и 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)
x
| w(x)
| V(x)
| x
| w(x)
| V(x)
| 0,00
| 0,39894
| 0,50000
| 2,65
| 0,011912
| 0,004025
| 0,10
| 0,39695
| 0,46017
| 2,70
| 0,010421
| 0,003467
| 0,20
| 0,39104
| 0,42074
| 2,75
| 0,009094
| 0,002980
| 0,30
| 0,38139
| 0,38209
| 2,80
| 0,007915
| 0,002555
| 0,40
| 0,36827
| 0,34458
| 2,85
| 0,006873
| 0,002186
| 0,50
| 0,35207
| 0,30854
| 2,90
| 0,005953
| 0,001866
| 0,60
| 0,33322
| 0,27425
| 2,95
| 0,005143
| 0,001589
| 0,70
| 0,31225
| 0,24196
| 3,00
| 0,004432
| 0,001350
| 0,80
| 0,28969
| 0,21186
| 3,05
| 0,003810
| 0,001144
| 0,90
| 0,26609
| 0,18406
| 3,10
| 0,003267
| 0,000968
| 1,00
| 0,24197
| 0,15866
| 3,15
| 0,002794
| 0,000816
| 1,10
| 0,21785
| 0,13567
| 3,20
| 0,002384
| 0,000687
| 1,20
| 0,19419
| 0,11507
| 3,25
| 0,002029
| 0,000577
| 1,30
| 0,17137
| 0,09680
| 3,30
| 0,001723
| 0,000483
| 1,40
| 0,14973
| 0,08076
| 3,35
| 0,001459
| 0,000404
| 1,50
| 0,12952
| 0,06681
| 3,40
| 0,001232
| 0,000337
| 1,60
| 0,11092
| 0,05480
| 3,45
| 0,001038
| 0,000280
| 1,70
| 0,09405
| 0,04457
| 3,50
| 0,000873
| 0,000233
| 1,80
| 0,07895
| 0,03593
| 3,55
| 0,000732
| 0,000193
| 1,90
| 0,06562
| 0,02872
| 3,60
| 0,000612
| 0,000159
| 2,00
| 0,05399
| 0,02275
| 3,65
| 0,000510
| 0,000131
| 2,05
| 0,04879
| 0,02018
| 3,70
| 0,000425
| 0,000108
| 2,10
| 0,04398
| 0,01786
| 3,75
| 0,000353
| 0,000088
| 2,15
| 0,03955
| 0,01578
| 3,80
| 0,000292
| 0,000072
| 2,20
| 0,03547
| 0,01390
| 3,85
| 0,000241
| 0,000059
| 2,25
| 0,03174
| 0,01222
| 3,90
| 0,000199
| 0,000048
| 2,30
| 0,02833
| 0,01072
| 3,95
| 0,000163
| 0,000039
| 2,35
| 0,02522
| 0,00939
| 4,00
| 0,000134
| 0,000032
| 2,40
| 0,02239
| 0,00820
| 4,25
| 0,000048
| 0,000011
| 2,45
| 0,01984
| 0,00714
| 4,50
| 0,000016
| 0,0000034
| 2,50
| 0,017528
| 0,006210
| 4,75
| 0,000005
| 0,0000010
| 2,55
| 0,015449
| 0,005386
| 5,00
| 0,000001
| 0,0000003
| Приложение Б – Значения функции –p log2 p
p
| – plog2p
| p
| – plog2p
| p
| – plog2p
| p
| – plog2p
| 0,00
| 0,0000
|
|
|
|
|
|
| 0,01
| 0,0664
| 0,26
| 0,5053
| 0,51
| 0,4954
| 0,76
| 0,3009
| 0,02
| 0,1129
| 0,27
| 0,5100
| 0,52
| 0,4906
| 0,77
| 0,2903
| 0,03
| 0,1518
| 0,28
| 0,5142
| 0,53
| 0,4854
| 0,78
| 0,2796
| 0,04
| 0,1858
| 0,29
| 0,5179
| 0,54
| 0,4800
| 0,79
| 0,2687
| 0,05
| 0,2161
| 0,3
| 0,5211
| 0,55
| 0,4744
| 0,80
| 0,2575
| 0,06
| 0,2435
| 0,31
| 0,5238
| 0,56
| 0,4684
| 0,81
| 0,2462
| 0,07
| 0,2686
| 0,32
| 0,5260
| 0,57
| 0,4623
| 0,82
| 0,2348
| 0,08
| 0,2915
| 0,33
| 0,5278
| 0,58
| 0,4558
| 0,83
| 0,2231
| 0,09
| 0,3127
| 0,34
| 0,5292
| 0,59
| 0,4491
| 0,84
| 0,2113
| 0,10
| 0,3322
| 0,35
| 0,5301
| 0,60
| 0,4422
| 0,85
| 0,1993
| 0,11
| 0,3503
| 0,36
| 0,5306
| 0,61
| 0,4350
| 0,86
| 0,1871
| 0,12
| 0,3671
| 0,37
| 0,5307
| 0,62
| 0,4276
| 0,87
| 0,1748
| 0,13
| 0,3826
| 0,38
| 0,5305
| 0,63
| 0,4199
| 0,88
| 0,1623
| 0,14
| 0,3971
| 0,39
| 0,5298
| 0,64
| 0,4121
| 0,89
| 0,1496
| 0,15
| 0,4105
| 0,40
| 0,5288
| 0,65
| 0,4040
| 0,90
| 0,1368
| 0,16
| 0,4230
| 0,41
| 0,5274
| 0,66
| 0,3956
| 0,91
| 0,1238
| 0,17
| 0,4346
| 0,42
| 0,5256
| 0,67
| 0,3871
| 0,92
| 0,1107
| 0,18
| 0,4453
| 0,43
| 0,5236
| 0,68
| 0,3783
| 0,93
| 0,0974
| 0,19
| 0,4552
| 0,44
| 0,5211
| 0,69
| 0,3694
| 0,94
| 0,0839
| 0,20
| 0,4644
| 0,45
| 0,5184
| 0,70
| 0,3602
| 0,95
| 0,0703
| 0,21
| 0,4728
| 0,46
| 0,5153
| 0,71
| 0,3508
| 0,96
| 0,0565
| 0,22
| 0,4806
| 0,47
| 0,5120
| 0,72
| 0,3412
| 0,97
| 0,0426
| 0,23
| 0,4877
| 0,48
| 0,5083
| 0,73
| 0,3314
| 0,98
| 0,0286
| 0,24
| 0,4941
| 0,49
| 0,5043
| 0,74
| 0,3215
| 0,99
| 0,0144
| 0,25
| 0,5000
| 0,50
| 0,5000
| 0,75
| 0,3113
| 1,00
| 0,0000
| СПИСОК СОКРАЩЕНИЙ
АЦП
| аналого-цифровой преобразователь
|
| ДАМ
| дискретная амплитудная модуляция
|
| ДЧМ
| дискретная частотная модуляция
|
| ДФМ
| дискретная фазовая модуляция
|
| ИКМ
| импульсно-кодовая модуляция
|
| ОФМ
| относительная фазовая модуляция
|
| ЦАП
| цифро-аналоговый преобразователь
|
|
|
|
| A/D
| Analogue to Digital
| преобразование «аналог/цифра»
| APK
| Amplitude Phase Keying
| амплитудно-фазовая манипуляция
| ASK
| Amplitude Shift Keying
| амплитудная манипуляция
| BPSK
| Binary Phase Shift Keying
| двоичная фазовая манипуляция
| CDMA
| Code Division Multiple Access
| множественный доступ с кодовым разделением (каналов)
| D/A
| Digital to Analogue
| преобразование «цифра/аналог»
| DPCM
| Differential Pulse-Code Modulation
| Дифференциальная импульсно-кодовая модуляция
| DPSK
| Differential Phase-Shift Keying
| дифференциальная фазовая
манипуляция
| FDMA
| Frequency Division Multiple Access
| множественный доступ с частотным разделением (каналов)
| FSK
| Frequency Shift Keying
| частотная манипуляция
| МPSK
| Multiple Phase-Shift Keying
| многофазная манипуляция (M > 2)
| PCM
| Pulse-Code Modulation
| импульсно-кодовая модуляция, ИКМ
| PSK
| Phase Shift Keying
| фазовая манипуляция
| QAM
| Quadrature Amplitude Modulation
| квадратурная амплитудная модуляция
| QPSK
| Quadriphase Shift Keying
| двукратная фазовая манипуляция
| TDMA
| Time Division Multiple Access
| множественный доступ с временным разделением (каналов)
|
СПИСОК ЛИТЕРАТУРЫ 1 Зюко А.Г., Кловский Д.Д., Коржик В.И., Назаров М.В. Теория электрической связи: Учебник для вузов связи / Под ред. Д.Д. Кловского. – М.: Радио и связь, 1999. – 432 с.: 204 ил.
2 Зюко А.Г., Кловский Д.Д., Назаров М.В., Финк Л.М. Теория передачи сигналов. Учебник для вузов / – 2-е изд. перераб. и доп. – М.: Радио и связь, 1986. – 304 с.
3 Зюко А.Г., Кловский Д.Д., Назаров М.В., Финк Л.М. Теория передачи сигналов. Учебник для вузов/ – М.: Связь,1980. – 288 с.
4 Кловский Д.Д., Шилкин В.А Теория электрической связи: Сб. задач и упражнений: Учеб. пособие для вузов. – М.: Радио и связь, 1990. – 280 с.
|