From e31cf8057f65ec0d8d141eb8f64d5c0e61204f6c Mon Sep 17 00:00:00 2001 From: Vadim Yanitskiy Date: Wed, 7 Sep 2016 21:51:25 +0700 Subject: utils/conv_gen.py: code style changes (line width, tabs, etc.) Change-Id: I8550910b9f5c16efc6f15f23c7ee52122c588752 --- utils/conv_gen.py | 414 ++++++++++++++++++++++++++++++------------------------ 1 file changed, 233 insertions(+), 181 deletions(-) (limited to 'utils/conv_gen.py') diff --git a/utils/conv_gen.py b/utils/conv_gen.py index bb547de8..a4f918fd 100644 --- a/utils/conv_gen.py +++ b/utils/conv_gen.py @@ -27,7 +27,8 @@ import sys, os, math class ConvolutionalCode(object): - def __init__(self, block_len, polys, name = "call-me", description = "LOL", puncture = []): + def __init__(self, block_len, polys, name, + description = None, puncture = []): # Save simple params self.block_len = block_len self.k = 1 @@ -50,9 +51,14 @@ class ConvolutionalCode(object): rp = [x[1] for x in self.polys if x[1] != 1] if rp: if not all([x == rp[0] for x in rp]): - raise ValueError("Bad polynoms: Can't have multiple different divider polynoms !") + raise ValueError("Bad polynoms: " + "Can't have multiple different divider polynoms!") + if not all([x[0] == 1 for x in polys if x[1] == 1]): - raise ValueError("Bad polynoms: Can't have a '1' divider with a non '1' dividend in a recursive code") + raise ValueError("Bad polynoms: " + "Can't have a '1' divider with a non '1' dividend " + "in a recursive code") + self.poly_divider = rp[0] @property @@ -85,7 +91,8 @@ class ConvolutionalCode(object): rv = [] for p_n, p_d in self.polys: if self.recursive and p_d == 1: - o = bit # No choice ... (systematic output in recursive case) + # No choice ... (systematic output in recursive case) + o = bit else: o = combine(src, p_n, self.k) rv.append(o) @@ -121,32 +128,48 @@ class ConvolutionalCode(object): nb = self.next_term_output(state, ns = ns) return ns, nb - def _print_term(self, fi, num_states, pack = False): + def _print_term(self, fi, num_states, pack = False): d = [] for state in range(num_states): - x = pack(self.next_term_output(state)) if pack else self.next_term_state(state) + if pack: + x = pack(self.next_term_output(state)) + else: + x = self.next_term_state(state) + d.append("%d, " % x) print >>fi, "\t%s" % ''.join(d) def _print_x(self, fi, num_states, pack = False): for state in range(num_states): - x0 = pack(self.next_output(state, 0)) if pack else self.next_state(state, 0) - x1 = pack(self.next_output(state, 1)) if pack else self.next_state(state, 1) + if pack: + x0 = pack(self.next_output(state, 0)) + x1 = pack(self.next_output(state, 1)) + else: + x0 = self.next_state(state, 0) + x1 = self.next_state(state, 1) + print >>fi, "\t{ %2d, %2d }," % (x0, x1) def gen_tables(self, pref, fi): - pack = lambda n: sum([x << (self.rate_inv - i - 1) for i, x in enumerate(n)]) + pack = lambda n: \ + sum([x << (self.rate_inv - i - 1) for i, x in enumerate(n)]) num_states = 1 << (self.k - 1) - print >>fi, "\nstatic const uint8_t %s_state[][2] = {" % self.name + + print >>fi, \ + "\nstatic const uint8_t %s_state[][2] = {" % self.name self._print_x(fi, num_states) - print >>fi, "};\n\nstatic const uint8_t %s_output[][2] = {" % self.name + print >>fi, \ + "};\n\nstatic const uint8_t %s_output[][2] = {" % self.name self._print_x(fi, num_states, pack) print >>fi, "};" if self.recursive: - print >>fi, "\nstatic const uint8_t %s_term_state[] = {" % self.name + print >>fi, \ + "\nstatic const uint8_t %s_term_state[] = {" % self.name self._print_term(fi, num_states) - print >>fi, "};\n\nstatic const uint8_t %s_term_output[] = {" % self.name + + print >>fi, \ + "};\n\nstatic const uint8_t %s_term_output[] = {" % self.name self._print_term(fi, num_states, pack) print >>fi, "};" @@ -156,7 +179,14 @@ class ConvolutionalCode(object): print >>fi, "\t%d," % p print >>fi, "};" - print >>fi, "\n/* %s */" % self.description + # Write description as a multi-line comment + if self.description is not None: + print >>fi, "\n/**" + for line in self.description: + print >>fi, " * %s" % line + print >>fi, " */" + + # Print a final convolutional code definition print >>fi, "const struct osmo_conv_code %s_%s = {" % (pref, self.name) print >>fi, "\t.N = %d," % self.rate_inv print >>fi, "\t.K = %d," % self.k @@ -188,93 +218,102 @@ G6 = poly(0, 1, 2, 3, 4, 6) G7 = poly(0, 1, 2, 3, 6) CCH_poly = [ - ( G0, 1 ), - ( G1, 1 ) + ( G0, 1 ), + ( G1, 1 ), ] +# xCCH definition xCCH = ConvolutionalCode( 224, CCH_poly, name = "xcch", - description =""" *CCH convolutional code: - 228 bits blocks, rate 1/2, k = 5 - G0 = 1 + D3 + D4 - G1 = 1 + D + D3 + D4 -""" + 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 - ], + 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 -""" + 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 - ], + 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 -""" + 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 - ], + 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 convolutional code: - 250 bits block, rate 1/2, punctured - G0/G0 = 1 - G1/G0 = 1 + D + D3 + D4 / 1 + D3 + D4 -""" + 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, [ @@ -283,32 +322,34 @@ TCH_AFS_10_2 = ConvolutionalCode( ( 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 - ], + 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 -""" + 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, [ @@ -317,21 +358,23 @@ TCH_AFS_7_95 = ConvolutionalCode( ( 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 - ], + 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 -""" + 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, [ @@ -340,18 +383,20 @@ TCH_AFS_7_4 = ConvolutionalCode( ( 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 - ], + 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 -""" + 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, [ @@ -361,27 +406,29 @@ TCH_AFS_6_7 = ConvolutionalCode( ( 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 - ], + 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 -""" + 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, [ @@ -391,24 +438,26 @@ TCH_AFS_5_9 = ConvolutionalCode( ( 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 - ], + 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 -""" + 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, [ @@ -419,27 +468,29 @@ TCH_AFS_5_15 = ConvolutionalCode( ( 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 - ], + 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 -""" + 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, [ @@ -450,23 +501,24 @@ TCH_AFS_4_75 = ConvolutionalCode( ( 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 - ], + 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 -""" + 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): -- cgit v1.2.3