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-rw-r--r--utils/conv_gen.py633
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."