diff options
Diffstat (limited to 'utils')
| -rw-r--r-- | utils/conv_gen.py | 633 |
1 files changed, 315 insertions, 318 deletions
diff --git a/utils/conv_gen.py b/utils/conv_gen.py index a4f918fd..38ea63b5 100644 --- a/utils/conv_gen.py +++ b/utils/conv_gen.py @@ -222,325 +222,322 @@ CCH_poly = [ ( G1, 1 ), ] -# xCCH definition -xCCH = ConvolutionalCode( - 224, - CCH_poly, - name = "xcch", - description = [ - "xCCH convolutional code:", - "228 bits blocks, rate 1/2, k = 5", - "G0 = 1 + D3 + D4", - "G1 = 1 + D + D3 + D4", - ] -) - -# CS2 definition -CS2 = ConvolutionalCode( - 290, - CCH_poly, - puncture = [ - 15, 19, 23, 27, 31, 35, 43, 47, 51, 55, 59, 63, 67, 71, - 75, 79, 83, 91, 95, 99, 103, 107, 111, 115, 119, 123, 127, 131, - 139, 143, 147, 151, 155, 159, 163, 167, 171, 175, 179, 187, 191, 195, - 199, 203, 207, 211, 215, 219, 223, 227, 235, 239, 243, 247, 251, 255, - 259, 263, 267, 271, 275, 283, 287, 291, 295, 299, 303, 307, 311, 315, - 319, 323, 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 371, 379, - 383, 387, 391, 395, 399, 403, 407, 411, 415, 419, 427, 431, 435, 439, - 443, 447, 451, 455, 459, 463, 467, 475, 479, 483, 487, 491, 495, 499, - 503, 507, 511, 515, 523, 527, 531, 535, 539, 543, 547, 551, 555, 559, - 563, 571, 575, 579, 583, 587, -1 - ], - name = "cs2", - description = [ - "CS2 convolutional code:", - "G0 = 1 + D3 + D4", - "G1 = 1 + D + D3 + D4", - ] -) - -# CS3 definition -CS3 = ConvolutionalCode( - 334, - CCH_poly, - puncture = [ - 15, 17, 21, 23, 27, 29, 33, 35, 39, 41, 45, 47, 51, 53, - 57, 59, 63, 65, 69, 71, 75, 77, 81, 83, 87, 89, 93, 95, - 99, 101, 105, 107, 111, 113, 117, 119, 123, 125, 129, 131, 135, 137, - 141, 143, 147, 149, 153, 155, 159, 161, 165, 167, 171, 173, 177, 179, - 183, 185, 189, 191, 195, 197, 201, 203, 207, 209, 213, 215, 219, 221, - 225, 227, 231, 233, 237, 239, 243, 245, 249, 251, 255, 257, 261, 263, - 267, 269, 273, 275, 279, 281, 285, 287, 291, 293, 297, 299, 303, 305, - 309, 311, 315, 317, 321, 323, 327, 329, 333, 335, 339, 341, 345, 347, - 351, 353, 357, 359, 363, 365, 369, 371, 375, 377, 381, 383, 387, 389, - 393, 395, 399, 401, 405, 407, 411, 413, 417, 419, 423, 425, 429, 431, - 435, 437, 441, 443, 447, 449, 453, 455, 459, 461, 465, 467, 471, 473, - 477, 479, 483, 485, 489, 491, 495, 497, 501, 503, 507, 509, 513, 515, - 519, 521, 525, 527, 531, 533, 537, 539, 543, 545, 549, 551, 555, 557, - 561, 563, 567, 569, 573, 575, 579, 581, 585, 587, 591, 593, 597, 599, - 603, 605, 609, 611, 615, 617, 621, 623, 627, 629, 633, 635, 639, 641, - 645, 647, 651, 653, 657, 659, 663, 665, 669, 671, -1 - ], - name = "cs3", - description = [ - "CS3 convolutional code:", - "G0 = 1 + D3 + D4", - "G1 = 1 + D + D3 + D4", - ] -) - -# TCH_AFS_12_2 definition -TCH_AFS_12_2 = ConvolutionalCode( - 250, - [ - ( 1, 1 ), - ( G1, G0 ), - ], - puncture = [ - 321, 325, 329, 333, 337, 341, 345, 349, 353, 357, 361, 363, - 365, 369, 373, 377, 379, 381, 385, 389, 393, 395, 397, 401, - 405, 409, 411, 413, 417, 421, 425, 427, 429, 433, 437, 441, - 443, 445, 449, 453, 457, 459, 461, 465, 469, 473, 475, 477, - 481, 485, 489, 491, 493, 495, 497, 499, 501, 503, 505, 507, - -1 - ], - name = 'tch_afs_12_2', - description = [ - "TCH/AFS 12.2 kbits convolutional code:", - "250 bits block, rate 1/2, punctured", - "G0/G0 = 1", - "G1/G0 = 1 + D + D3 + D4 / 1 + D3 + D4", - ] -) - -# TCH_AFS_10_2 definition -TCH_AFS_10_2 = ConvolutionalCode( - 210, - [ - ( G1, G3 ), - ( G2, G3 ), - ( 1, 1 ), - ], - puncture = [ - 1, 4, 7, 10, 16, 19, 22, 28, 31, 34, 40, 43, - 46, 52, 55, 58, 64, 67, 70, 76, 79, 82, 88, 91, - 94, 100, 103, 106, 112, 115, 118, 124, 127, 130, 136, 139, - 142, 148, 151, 154, 160, 163, 166, 172, 175, 178, 184, 187, - 190, 196, 199, 202, 208, 211, 214, 220, 223, 226, 232, 235, - 238, 244, 247, 250, 256, 259, 262, 268, 271, 274, 280, 283, - 286, 292, 295, 298, 304, 307, 310, 316, 319, 322, 325, 328, - 331, 334, 337, 340, 343, 346, 349, 352, 355, 358, 361, 364, - 367, 370, 373, 376, 379, 382, 385, 388, 391, 394, 397, 400, - 403, 406, 409, 412, 415, 418, 421, 424, 427, 430, 433, 436, - 439, 442, 445, 448, 451, 454, 457, 460, 463, 466, 469, 472, - 475, 478, 481, 484, 487, 490, 493, 496, 499, 502, 505, 508, - 511, 514, 517, 520, 523, 526, 529, 532, 535, 538, 541, 544, - 547, 550, 553, 556, 559, 562, 565, 568, 571, 574, 577, 580, - 583, 586, 589, 592, 595, 598, 601, 604, 607, 609, 610, 613, - 616, 619, 621, 622, 625, 627, 628, 631, 633, 634, 636, 637, - 639, 640, -1 - ], - name = 'tch_afs_10_2', - description = [ - "TCH/AFS 10.2 kbits convolutional code:", - "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", - "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", - "G3/G3 = 1", - ] -) - -# TCH_AFS_7_95 definition -TCH_AFS_7_95 = ConvolutionalCode( - 165, - [ - ( 1, 1 ), - ( G5, G4 ), - ( G6, G4 ), - ], - puncture = [ - 1, 2, 4, 5, 8, 22, 70, 118, 166, 214, 262, 310, - 317, 319, 325, 332, 334, 341, 343, 349, 356, 358, 365, 367, - 373, 380, 382, 385, 389, 391, 397, 404, 406, 409, 413, 415, - 421, 428, 430, 433, 437, 439, 445, 452, 454, 457, 461, 463, - 469, 476, 478, 481, 485, 487, 490, 493, 500, 502, 503, 505, - 506, 508, 509, 511, 512, -1 - ], - name = 'tch_afs_7_95', - description = [ - "TCH/AFS 7.95 kbits convolutional code:", - "G4/G4 = 1", - "G5/G4 = 1 + D + D4 + D6 / 1 + D2 + D3 + D5 + D6", - "G6/G4 = 1 + D + D2 + D3 + D4 + D6 / 1 + D2 + D3 + D5 + D6", - ] -) - -# TCH_AFS_7_4 definition -TCH_AFS_7_4 = ConvolutionalCode( - 154, - [ - ( G1, G3 ), - ( G2, G3 ), - ( 1, 1 ), - ], - puncture = [ - 0, 355, 361, 367, 373, 379, 385, 391, 397, 403, 409, 415, - 421, 427, 433, 439, 445, 451, 457, 460, 463, 466, 468, 469, - 471, 472, -1 - ], - name = 'tch_afs_7_4', - description = [ - "TCH/AFS 7.4 kbits convolutional code:", - "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", - "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", - "G3/G3 = 1", - ] -) - -# TCH_AFS_6_7 definition -TCH_AFS_6_7 = ConvolutionalCode( - 140, - [ - ( G1, G3 ), - ( G2, G3 ), - ( 1, 1 ), - ( 1, 1 ), - ], - puncture = [ - 1, 3, 7, 11, 15, 27, 39, 55, 67, 79, 95, 107, - 119, 135, 147, 159, 175, 187, 199, 215, 227, 239, 255, 267, - 279, 287, 291, 295, 299, 303, 307, 311, 315, 319, 323, 327, - 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 369, 371, - 375, 377, 379, 383, 385, 387, 391, 393, 395, 399, 401, 403, - 407, 409, 411, 415, 417, 419, 423, 425, 427, 431, 433, 435, - 439, 441, 443, 447, 449, 451, 455, 457, 459, 463, 465, 467, - 471, 473, 475, 479, 481, 483, 487, 489, 491, 495, 497, 499, - 503, 505, 507, 511, 513, 515, 519, 521, 523, 527, 529, 531, - 535, 537, 539, 543, 545, 547, 549, 551, 553, 555, 557, 559, - 561, 563, 565, 567, 569, 571, 573, 575, -1 - ], - name = 'tch_afs_6_7', - description = [ - "TCH/AFS 6.7 kbits convolutional code:", - "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", - "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", - "G3/G3 = 1", - "G3/G3 = 1", - ] -) - -# TCH_AFS_5_9 definition -TCH_AFS_5_9 = ConvolutionalCode( - 124, - [ - ( G4, G6 ), - ( G5, G6 ), - ( 1, 1), - ( 1, 1), - ], - puncture = [ - 0, 1, 3, 5, 7, 11, 15, 31, 47, 63, 79, 95, - 111, 127, 143, 159, 175, 191, 207, 223, 239, 255, 271, 287, - 303, 319, 327, 331, 335, 343, 347, 351, 359, 363, 367, 375, - 379, 383, 391, 395, 399, 407, 411, 415, 423, 427, 431, 439, - 443, 447, 455, 459, 463, 467, 471, 475, 479, 483, 487, 491, - 495, 499, 503, 507, 509, 511, 512, 513, 515, 516, 517, 519, - -1 - ], - name = 'tch_afs_5_9', - description = [ - "TCH/AFS 5.9 kbits convolutional code:", - "124 bits", - "G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6", - "G5/G6 = 1 + D + D4 + D6 / 1 + D + D2 + D3 + D4 + D6", - "G6/G6 = 1", - "G6/G6 = 1", - ] -) - -# TCH_AFS_5_15 definition -TCH_AFS_5_15 = ConvolutionalCode( - 109, - [ - ( G1, G3 ), - ( G1, G3 ), - ( G2, G3 ), - ( 1, 1 ), - ( 1, 1 ), - ], - puncture = [ - 0, 4, 5, 9, 10, 14, 15, 20, 25, 30, 35, 40, - 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, - 170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280, - 290, 300, 310, 315, 320, 325, 330, 334, 335, 340, 344, 345, - 350, 354, 355, 360, 364, 365, 370, 374, 375, 380, 384, 385, - 390, 394, 395, 400, 404, 405, 410, 414, 415, 420, 424, 425, - 430, 434, 435, 440, 444, 445, 450, 454, 455, 460, 464, 465, - 470, 474, 475, 480, 484, 485, 490, 494, 495, 500, 504, 505, - 510, 514, 515, 520, 524, 525, 529, 530, 534, 535, 539, 540, - 544, 545, 549, 550, 554, 555, 559, 560, 564, -1 - ], - name = 'tch_afs_5_15', - description = [ - "TCH/AFS 5.15 kbits convolutional code:", - "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", - "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", - "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", - "G3/G3 = 1", - "G3/G3 = 1", - ] -) - -# TCH_AFS_4_75 definition -TCH_AFS_4_75 = ConvolutionalCode( - 101, - [ - ( G4, G6 ), - ( G4, G6 ), - ( G5, G6 ), - ( 1, 1 ), - ( 1, 1 ), - ], - puncture = [ - 0, 1, 2, 4, 5, 7, 9, 15, 25, 35, 45, 55, - 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, - 185, 195, 205, 215, 225, 235, 245, 255, 265, 275, 285, 295, - 305, 315, 325, 335, 345, 355, 365, 375, 385, 395, 400, 405, - 410, 415, 420, 425, 430, 435, 440, 445, 450, 455, 459, 460, - 465, 470, 475, 479, 480, 485, 490, 495, 499, 500, 505, 509, - 510, 515, 517, 519, 520, 522, 524, 525, 526, 527, 529, 530, - 531, 532, 534, -1 - ], - name = 'tch_afs_4_75', - description = [ - "TCH/AFS 4.75 kbits convolutional code:", - "G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6", - "G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6", - "G5/G6 = 1 + D + D4 + D6 / 1 + D + D2 + D3 + D4 + D6", - "G6/G6 = 1", - "G6/G6 = 1", - ] -) - -def gen_c(dest, pref, code): - f = open(os.path.join(dest, 'conv_' + code.name + '_gen.c'), 'w') +conv_codes = [ + # xCCH definition + ConvolutionalCode( + 224, + CCH_poly, + name = "xcch", + description = [ + "xCCH convolutional code:", + "228 bits blocks, rate 1/2, k = 5", + "G0 = 1 + D3 + D4", + "G1 = 1 + D + D3 + D4", + ] + ), + + # CS2 definition + ConvolutionalCode( + 290, + CCH_poly, + puncture = [ + 15, 19, 23, 27, 31, 35, 43, 47, 51, 55, 59, 63, 67, 71, + 75, 79, 83, 91, 95, 99, 103, 107, 111, 115, 119, 123, 127, 131, + 139, 143, 147, 151, 155, 159, 163, 167, 171, 175, 179, 187, 191, 195, + 199, 203, 207, 211, 215, 219, 223, 227, 235, 239, 243, 247, 251, 255, + 259, 263, 267, 271, 275, 283, 287, 291, 295, 299, 303, 307, 311, 315, + 319, 323, 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 371, 379, + 383, 387, 391, 395, 399, 403, 407, 411, 415, 419, 427, 431, 435, 439, + 443, 447, 451, 455, 459, 463, 467, 475, 479, 483, 487, 491, 495, 499, + 503, 507, 511, 515, 523, 527, 531, 535, 539, 543, 547, 551, 555, 559, + 563, 571, 575, 579, 583, 587, -1 + ], + name = "cs2", + description = [ + "CS2 convolutional code:", + "G0 = 1 + D3 + D4", + "G1 = 1 + D + D3 + D4", + ] + ), + + # CS3 definition + ConvolutionalCode( + 334, + CCH_poly, + puncture = [ + 15, 17, 21, 23, 27, 29, 33, 35, 39, 41, 45, 47, 51, 53, + 57, 59, 63, 65, 69, 71, 75, 77, 81, 83, 87, 89, 93, 95, + 99, 101, 105, 107, 111, 113, 117, 119, 123, 125, 129, 131, 135, 137, + 141, 143, 147, 149, 153, 155, 159, 161, 165, 167, 171, 173, 177, 179, + 183, 185, 189, 191, 195, 197, 201, 203, 207, 209, 213, 215, 219, 221, + 225, 227, 231, 233, 237, 239, 243, 245, 249, 251, 255, 257, 261, 263, + 267, 269, 273, 275, 279, 281, 285, 287, 291, 293, 297, 299, 303, 305, + 309, 311, 315, 317, 321, 323, 327, 329, 333, 335, 339, 341, 345, 347, + 351, 353, 357, 359, 363, 365, 369, 371, 375, 377, 381, 383, 387, 389, + 393, 395, 399, 401, 405, 407, 411, 413, 417, 419, 423, 425, 429, 431, + 435, 437, 441, 443, 447, 449, 453, 455, 459, 461, 465, 467, 471, 473, + 477, 479, 483, 485, 489, 491, 495, 497, 501, 503, 507, 509, 513, 515, + 519, 521, 525, 527, 531, 533, 537, 539, 543, 545, 549, 551, 555, 557, + 561, 563, 567, 569, 573, 575, 579, 581, 585, 587, 591, 593, 597, 599, + 603, 605, 609, 611, 615, 617, 621, 623, 627, 629, 633, 635, 639, 641, + 645, 647, 651, 653, 657, 659, 663, 665, 669, 671, -1 + ], + name = "cs3", + description = [ + "CS3 convolutional code:", + "G0 = 1 + D3 + D4", + "G1 = 1 + D + D3 + D4", + ] + ), + + # TCH_AFS_12_2 definition + ConvolutionalCode( + 250, + [ + ( 1, 1 ), + ( G1, G0 ), + ], + puncture = [ + 321, 325, 329, 333, 337, 341, 345, 349, 353, 357, 361, 363, + 365, 369, 373, 377, 379, 381, 385, 389, 393, 395, 397, 401, + 405, 409, 411, 413, 417, 421, 425, 427, 429, 433, 437, 441, + 443, 445, 449, 453, 457, 459, 461, 465, 469, 473, 475, 477, + 481, 485, 489, 491, 493, 495, 497, 499, 501, 503, 505, 507, + -1 + ], + name = 'tch_afs_12_2', + description = [ + "TCH/AFS 12.2 kbits convolutional code:", + "250 bits block, rate 1/2, punctured", + "G0/G0 = 1", + "G1/G0 = 1 + D + D3 + D4 / 1 + D3 + D4", + ] + ), + + # TCH_AFS_10_2 definition + ConvolutionalCode( + 210, + [ + ( G1, G3 ), + ( G2, G3 ), + ( 1, 1 ), + ], + puncture = [ + 1, 4, 7, 10, 16, 19, 22, 28, 31, 34, 40, 43, + 46, 52, 55, 58, 64, 67, 70, 76, 79, 82, 88, 91, + 94, 100, 103, 106, 112, 115, 118, 124, 127, 130, 136, 139, + 142, 148, 151, 154, 160, 163, 166, 172, 175, 178, 184, 187, + 190, 196, 199, 202, 208, 211, 214, 220, 223, 226, 232, 235, + 238, 244, 247, 250, 256, 259, 262, 268, 271, 274, 280, 283, + 286, 292, 295, 298, 304, 307, 310, 316, 319, 322, 325, 328, + 331, 334, 337, 340, 343, 346, 349, 352, 355, 358, 361, 364, + 367, 370, 373, 376, 379, 382, 385, 388, 391, 394, 397, 400, + 403, 406, 409, 412, 415, 418, 421, 424, 427, 430, 433, 436, + 439, 442, 445, 448, 451, 454, 457, 460, 463, 466, 469, 472, + 475, 478, 481, 484, 487, 490, 493, 496, 499, 502, 505, 508, + 511, 514, 517, 520, 523, 526, 529, 532, 535, 538, 541, 544, + 547, 550, 553, 556, 559, 562, 565, 568, 571, 574, 577, 580, + 583, 586, 589, 592, 595, 598, 601, 604, 607, 609, 610, 613, + 616, 619, 621, 622, 625, 627, 628, 631, 633, 634, 636, 637, + 639, 640, -1 + ], + name = 'tch_afs_10_2', + description = [ + "TCH/AFS 10.2 kbits convolutional code:", + "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", + "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", + "G3/G3 = 1", + ] + ), + + # TCH_AFS_7_95 definition + ConvolutionalCode( + 165, + [ + ( 1, 1 ), + ( G5, G4 ), + ( G6, G4 ), + ], + puncture = [ + 1, 2, 4, 5, 8, 22, 70, 118, 166, 214, 262, 310, + 317, 319, 325, 332, 334, 341, 343, 349, 356, 358, 365, 367, + 373, 380, 382, 385, 389, 391, 397, 404, 406, 409, 413, 415, + 421, 428, 430, 433, 437, 439, 445, 452, 454, 457, 461, 463, + 469, 476, 478, 481, 485, 487, 490, 493, 500, 502, 503, 505, + 506, 508, 509, 511, 512, -1 + ], + name = 'tch_afs_7_95', + description = [ + "TCH/AFS 7.95 kbits convolutional code:", + "G4/G4 = 1", + "G5/G4 = 1 + D + D4 + D6 / 1 + D2 + D3 + D5 + D6", + "G6/G4 = 1 + D + D2 + D3 + D4 + D6 / 1 + D2 + D3 + D5 + D6", + ] + ), + + # TCH_AFS_7_4 definition + ConvolutionalCode( + 154, + [ + ( G1, G3 ), + ( G2, G3 ), + ( 1, 1 ), + ], + puncture = [ + 0, 355, 361, 367, 373, 379, 385, 391, 397, 403, 409, 415, + 421, 427, 433, 439, 445, 451, 457, 460, 463, 466, 468, 469, + 471, 472, -1 + ], + name = 'tch_afs_7_4', + description = [ + "TCH/AFS 7.4 kbits convolutional code:", + "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", + "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", + "G3/G3 = 1", + ] + ), + + # TCH_AFS_6_7 definition + ConvolutionalCode( + 140, + [ + ( G1, G3 ), + ( G2, G3 ), + ( 1, 1 ), + ( 1, 1 ), + ], + puncture = [ + 1, 3, 7, 11, 15, 27, 39, 55, 67, 79, 95, 107, + 119, 135, 147, 159, 175, 187, 199, 215, 227, 239, 255, 267, + 279, 287, 291, 295, 299, 303, 307, 311, 315, 319, 323, 327, + 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 369, 371, + 375, 377, 379, 383, 385, 387, 391, 393, 395, 399, 401, 403, + 407, 409, 411, 415, 417, 419, 423, 425, 427, 431, 433, 435, + 439, 441, 443, 447, 449, 451, 455, 457, 459, 463, 465, 467, + 471, 473, 475, 479, 481, 483, 487, 489, 491, 495, 497, 499, + 503, 505, 507, 511, 513, 515, 519, 521, 523, 527, 529, 531, + 535, 537, 539, 543, 545, 547, 549, 551, 553, 555, 557, 559, + 561, 563, 565, 567, 569, 571, 573, 575, -1 + ], + name = 'tch_afs_6_7', + description = [ + "TCH/AFS 6.7 kbits convolutional code:", + "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", + "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", + "G3/G3 = 1", + "G3/G3 = 1", + ] + ), + + # TCH_AFS_5_9 definition + ConvolutionalCode( + 124, + [ + ( G4, G6 ), + ( G5, G6 ), + ( 1, 1), + ( 1, 1), + ], + puncture = [ + 0, 1, 3, 5, 7, 11, 15, 31, 47, 63, 79, 95, + 111, 127, 143, 159, 175, 191, 207, 223, 239, 255, 271, 287, + 303, 319, 327, 331, 335, 343, 347, 351, 359, 363, 367, 375, + 379, 383, 391, 395, 399, 407, 411, 415, 423, 427, 431, 439, + 443, 447, 455, 459, 463, 467, 471, 475, 479, 483, 487, 491, + 495, 499, 503, 507, 509, 511, 512, 513, 515, 516, 517, 519, + -1 + ], + name = 'tch_afs_5_9', + description = [ + "TCH/AFS 5.9 kbits convolutional code:", + "124 bits", + "G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6", + "G5/G6 = 1 + D + D4 + D6 / 1 + D + D2 + D3 + D4 + D6", + "G6/G6 = 1", + "G6/G6 = 1", + ] + ), + + # TCH_AFS_5_15 definition + ConvolutionalCode( + 109, + [ + ( G1, G3 ), + ( G1, G3 ), + ( G2, G3 ), + ( 1, 1 ), + ( 1, 1 ), + ], + puncture = [ + 0, 4, 5, 9, 10, 14, 15, 20, 25, 30, 35, 40, + 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, + 170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280, + 290, 300, 310, 315, 320, 325, 330, 334, 335, 340, 344, 345, + 350, 354, 355, 360, 364, 365, 370, 374, 375, 380, 384, 385, + 390, 394, 395, 400, 404, 405, 410, 414, 415, 420, 424, 425, + 430, 434, 435, 440, 444, 445, 450, 454, 455, 460, 464, 465, + 470, 474, 475, 480, 484, 485, 490, 494, 495, 500, 504, 505, + 510, 514, 515, 520, 524, 525, 529, 530, 534, 535, 539, 540, + 544, 545, 549, 550, 554, 555, 559, 560, 564, -1 + ], + name = 'tch_afs_5_15', + description = [ + "TCH/AFS 5.15 kbits convolutional code:", + "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", + "G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4", + "G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4", + "G3/G3 = 1", + "G3/G3 = 1", + ] + ), + + # TCH_AFS_4_75 definition + ConvolutionalCode( + 101, + [ + ( G4, G6 ), + ( G4, G6 ), + ( G5, G6 ), + ( 1, 1 ), + ( 1, 1 ), + ], + puncture = [ + 0, 1, 2, 4, 5, 7, 9, 15, 25, 35, 45, 55, + 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, + 185, 195, 205, 215, 225, 235, 245, 255, 265, 275, 285, 295, + 305, 315, 325, 335, 345, 355, 365, 375, 385, 395, 400, 405, + 410, 415, 420, 425, 430, 435, 440, 445, 450, 455, 459, 460, + 465, 470, 475, 479, 480, 485, 490, 495, 499, 500, 505, 509, + 510, 515, 517, 519, 520, 522, 524, 525, 526, 527, 529, 530, + 531, 532, 534, -1 + ], + name = 'tch_afs_4_75', + description = [ + "TCH/AFS 4.75 kbits convolutional code:", + "G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6", + "G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6", + "G5/G6 = 1 + D + D4 + D6 / 1 + D + D2 + D3 + D4 + D6", + "G6/G6 = 1", + "G6/G6 = 1", + ] + ) +] + +if __name__ == '__main__': + path = sys.argv[1] if len(sys.argv) > 1 else os.getcwd() + prefix = "gsm0503" + + print >>sys.stderr, "Generating convolutional codes..." + + # Open a new file for writing + f = open(os.path.join(path, "gsm0503_conv.c"), 'w') print >>f, mod_license print >>f, "#include <stdint.h>" print >>f, "#include <osmocom/core/conv.h>" - code.gen_tables(pref, f) -if __name__ == '__main__': - print >>sys.stderr, "Generating convolutional codes..." - prefix = "gsm0503" - path = sys.argv[1] if len(sys.argv) > 1 else os.getcwd() - gen_c(path, prefix, xCCH) - gen_c(path, prefix, CS2) - gen_c(path, prefix, CS3) - gen_c(path, prefix, TCH_AFS_12_2) - gen_c(path, prefix, TCH_AFS_10_2) - gen_c(path, prefix, TCH_AFS_7_95) - gen_c(path, prefix, TCH_AFS_7_4) - gen_c(path, prefix, TCH_AFS_6_7) - gen_c(path, prefix, TCH_AFS_5_9) - gen_c(path, prefix, TCH_AFS_5_15) - gen_c(path, prefix, TCH_AFS_4_75) - print >>sys.stderr, "\tdone." + # Generate the tables one by one + for code in conv_codes: + print >>sys.stderr, "Generate '%s' definition" % code.name + code.gen_tables(prefix, f) + + print >>sys.stderr, "Generation complete." |