Holger Hans Peter Freyther | 3a96d28 | 2016-04-29 21:24:48 +0200 | [diff] [blame] | 1 | #!/usr/bin/python2 |
Harald Welte | eea18a6 | 2016-04-29 15:18:35 +0200 | [diff] [blame] | 2 | |
| 3 | mod_license = """ |
| 4 | /* |
| 5 | * Copyright (C) 2011-2016 Sylvain Munaut <tnt@246tNt.com> |
| 6 | * Copyright (C) 2016 sysmocom s.f.m.c. GmbH |
| 7 | * |
| 8 | * All Rights Reserved |
| 9 | * |
| 10 | * This program is free software; you can redistribute it and/or modify |
| 11 | * it under the terms of the GNU General Public License as published by |
| 12 | * the Free Software Foundation; either version 3 of the License, or |
| 13 | * (at your option) any later version. |
| 14 | * |
| 15 | * This program is distributed in the hope that it will be useful, |
| 16 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
| 17 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| 18 | * GNU General Public License for more details. |
| 19 | * |
| 20 | * You should have received a copy of the GNU General Public License along |
| 21 | * with this program; if not, write to the Free Software Foundation, Inc., |
| 22 | * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. |
| 23 | */ |
| 24 | """ |
| 25 | |
| 26 | import sys, os, math |
| 27 | |
| 28 | class ConvolutionalCode(object): |
| 29 | |
| 30 | def __init__(self, block_len, polys, name = "call-me", description = "LOL", puncture = []): |
| 31 | # Save simple params |
| 32 | self.block_len = block_len |
| 33 | self.k = 1 |
| 34 | self.puncture = puncture |
| 35 | self.rate_inv = len(polys) |
| 36 | |
| 37 | # Infos |
| 38 | self.name = name |
| 39 | self.description = description |
| 40 | |
| 41 | # Handle polynoms (and check for recursion) |
| 42 | self.polys = [(1, 1) if x[0] == x[1] else x for x in polys] |
| 43 | |
| 44 | # Determine the polynomial degree |
| 45 | for (x, y) in polys: |
| 46 | self.k = max(self.k, int(math.floor(math.log(max(x, y), 2)))) |
| 47 | self.k = self.k + 1 |
| 48 | |
| 49 | self.poly_divider = 1 |
| 50 | rp = [x[1] for x in self.polys if x[1] != 1] |
| 51 | if rp: |
| 52 | if not all([x == rp[0] for x in rp]): |
| 53 | raise ValueError("Bad polynoms: Can't have multiple different divider polynoms !") |
| 54 | if not all([x[0] == 1 for x in polys if x[1] == 1]): |
| 55 | raise ValueError("Bad polynoms: Can't have a '1' divider with a non '1' dividend in a recursive code") |
| 56 | self.poly_divider = rp[0] |
| 57 | |
| 58 | @property |
| 59 | def recursive(self): |
| 60 | return self.poly_divider != 1 |
| 61 | |
| 62 | @property |
| 63 | def _state_mask(self): |
| 64 | return (1 << (self.k - 1)) - 1 |
| 65 | |
| 66 | def next_state(self, state, bit): |
| 67 | nb = combine( |
| 68 | (state << 1) | bit, |
| 69 | self.poly_divider, |
| 70 | self.k, |
| 71 | ) |
| 72 | return ((state << 1) | nb) & self._state_mask |
| 73 | |
| 74 | def next_term_state(self, state): |
| 75 | return (state << 1) & self._state_mask |
| 76 | |
| 77 | def next_output(self, state, bit, ns = None): |
| 78 | # Next state bit |
| 79 | if ns is None: |
| 80 | ns = self.next_state(state, bit) |
| 81 | |
| 82 | src = (ns & 1) | (state << 1) |
| 83 | |
| 84 | # Scan polynoms |
| 85 | rv = [] |
| 86 | for p_n, p_d in self.polys: |
| 87 | if self.recursive and p_d == 1: |
| 88 | o = bit # No choice ... (systematic output in recursive case) |
| 89 | else: |
| 90 | o = combine(src, p_n, self.k) |
| 91 | rv.append(o) |
| 92 | |
| 93 | return rv |
| 94 | |
| 95 | def next_term_output(self, state, ns = None): |
| 96 | # Next state bit |
| 97 | if ns is None: |
| 98 | ns = self.next_term_state(state) |
| 99 | |
| 100 | src = (ns & 1) | (state << 1) |
| 101 | |
| 102 | # Scan polynoms |
| 103 | rv = [] |
| 104 | for p_n, p_d in self.polys: |
| 105 | if self.recursive and p_d == 1: |
| 106 | # Systematic output are replaced when in 'termination' mode |
| 107 | o = combine(src, self.poly_divider, self.k) |
| 108 | else: |
| 109 | o = combine(src, p_n, self.k) |
| 110 | rv.append(o) |
| 111 | |
| 112 | return rv |
| 113 | |
| 114 | def next(self, state, bit): |
| 115 | ns = self.next_state(state, bit) |
| 116 | nb = self.next_output(state, bit, ns = ns) |
| 117 | return ns, nb |
| 118 | |
| 119 | def next_term(self, state): |
| 120 | ns = self.next_term_state(state) |
| 121 | nb = self.next_term_output(state, ns = ns) |
| 122 | return ns, nb |
| 123 | |
| 124 | def _print_term(self, fi, num_states, pack = False): |
| 125 | d = [] |
| 126 | for state in range(num_states): |
| 127 | x = pack(self.next_term_output(state)) if pack else self.next_term_state(state) |
| 128 | d.append("%d, " % x) |
| 129 | print >>fi, "\t%s" % ''.join(d) |
| 130 | |
| 131 | def _print_x(self, fi, num_states, pack = False): |
| 132 | for state in range(num_states): |
| 133 | x0 = pack(self.next_output(state, 0)) if pack else self.next_state(state, 0) |
| 134 | x1 = pack(self.next_output(state, 1)) if pack else self.next_state(state, 1) |
| 135 | print >>fi, "\t{ %2d, %2d }," % (x0, x1) |
| 136 | |
| 137 | def gen_tables(self, pref, fi): |
| 138 | pack = lambda n: sum([x << (self.rate_inv - i - 1) for i, x in enumerate(n)]) |
| 139 | num_states = 1 << (self.k - 1) |
| 140 | print >>fi, "\nstatic const uint8_t %s_state[][2] = {" % self.name |
| 141 | self._print_x(fi, num_states) |
| 142 | print >>fi, "};\n\nstatic const uint8_t %s_output[][2] = {" % self.name |
| 143 | self._print_x(fi, num_states, pack) |
| 144 | print >>fi, "};" |
| 145 | |
| 146 | if self.recursive: |
| 147 | print >>fi, "\nstatic const uint8_t %s_term_state[] = {" % self.name |
| 148 | self._print_term(fi, num_states) |
| 149 | print >>fi, "};\n\nstatic const uint8_t %s_term_output[] = {" % self.name |
| 150 | self._print_term(fi, num_states, pack) |
| 151 | print >>fi, "};" |
| 152 | |
| 153 | if len(self.puncture): |
| 154 | print >>fi, "\nstatic const int %s_puncture[] = {" % self.name |
| 155 | for p in self.puncture: |
| 156 | print >>fi, "\t%d," % p |
| 157 | print >>fi, "};" |
| 158 | |
| 159 | print >>fi, "\n/* %s */" % self.description |
| 160 | print >>fi, "const struct osmo_conv_code %s_%s = {" % (pref, self.name) |
| 161 | print >>fi, "\t.N = %d," % self.rate_inv |
| 162 | print >>fi, "\t.K = %d," % self.k |
| 163 | print >>fi, "\t.len = %d," % self.block_len |
| 164 | print >>fi, "\t.next_output = %s_output," % self.name |
| 165 | print >>fi, "\t.next_state = %s_state," % self.name |
| 166 | if self.recursive: |
| 167 | print >>fi, "\t.next_term_output = %s_term_output," % self.name |
| 168 | print >>fi, "\t.next_term_state = %s_term_state," % self.name |
| 169 | if len(self.puncture): |
| 170 | print >>fi, "\t.puncture = %s_puncture," % self.name |
| 171 | print >>fi, "};" |
| 172 | |
| 173 | poly = lambda *args: sum([(1 << x) for x in args]) |
| 174 | |
| 175 | def combine(src, sel, nb): |
| 176 | x = src & sel |
| 177 | fn_xor = lambda x, y: x ^ y |
| 178 | return reduce(fn_xor, [(x >> n) & 1 for n in range(nb)]) |
| 179 | |
| 180 | # Polynomials according to 3GPP TS 05.03 Annex B |
| 181 | G0 = poly(0, 3, 4) |
| 182 | G1 = poly(0, 1, 3, 4) |
| 183 | G2 = poly(0, 2, 4) |
| 184 | G3 = poly(0, 1, 2, 3, 4) |
| 185 | G4 = poly(0, 2, 3, 5, 6) |
| 186 | G5 = poly(0, 1, 4, 6) |
| 187 | G6 = poly(0, 1, 2, 3, 4, 6) |
| 188 | G7 = poly(0, 1, 2, 3, 6) |
| 189 | |
| 190 | CCH_poly = [ |
| 191 | ( G0, 1 ), |
| 192 | ( G1, 1 ) |
| 193 | ] |
| 194 | |
| 195 | xCCH = ConvolutionalCode( |
| 196 | 224, |
| 197 | CCH_poly, |
| 198 | name = "xcch", |
| 199 | description =""" *CCH convolutional code: |
| 200 | 228 bits blocks, rate 1/2, k = 5 |
| 201 | G0 = 1 + D3 + D4 |
| 202 | G1 = 1 + D + D3 + D4 |
| 203 | """ |
| 204 | ) |
| 205 | |
| 206 | CS2 = ConvolutionalCode( |
| 207 | 290, |
| 208 | CCH_poly, |
| 209 | puncture = [ |
| 210 | 15, 19, 23, 27, 31, 35, 43, 47, 51, 55, 59, 63, 67, 71, |
| 211 | 75, 79, 83, 91, 95, 99, 103, 107, 111, 115, 119, 123, 127, 131, |
| 212 | 139, 143, 147, 151, 155, 159, 163, 167, 171, 175, 179, 187, 191, 195, |
| 213 | 199, 203, 207, 211, 215, 219, 223, 227, 235, 239, 243, 247, 251, 255, |
| 214 | 259, 263, 267, 271, 275, 283, 287, 291, 295, 299, 303, 307, 311, 315, |
| 215 | 319, 323, 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 371, 379, |
| 216 | 383, 387, 391, 395, 399, 403, 407, 411, 415, 419, 427, 431, 435, 439, |
| 217 | 443, 447, 451, 455, 459, 463, 467, 475, 479, 483, 487, 491, 495, 499, |
| 218 | 503, 507, 511, 515, 523, 527, 531, 535, 539, 543, 547, 551, 555, 559, |
| 219 | 563, 571, 575, 579, 583, 587, -1 |
| 220 | ], |
| 221 | name = "cs2", |
| 222 | description =""" CS2 convolutional code: |
| 223 | G0 = 1 + D3 + D4 |
| 224 | G1 = 1 + D + D3 + D4 |
| 225 | """ |
| 226 | ) |
| 227 | |
| 228 | CS3 = ConvolutionalCode( |
| 229 | 334, |
| 230 | CCH_poly, |
| 231 | puncture = [ |
| 232 | 15, 17, 21, 23, 27, 29, 33, 35, 39, 41, 45, 47, 51, 53, |
| 233 | 57, 59, 63, 65, 69, 71, 75, 77, 81, 83, 87, 89, 93, 95, |
| 234 | 99, 101, 105, 107, 111, 113, 117, 119, 123, 125, 129, 131, 135, 137, |
| 235 | 141, 143, 147, 149, 153, 155, 159, 161, 165, 167, 171, 173, 177, 179, |
| 236 | 183, 185, 189, 191, 195, 197, 201, 203, 207, 209, 213, 215, 219, 221, |
| 237 | 225, 227, 231, 233, 237, 239, 243, 245, 249, 251, 255, 257, 261, 263, |
| 238 | 267, 269, 273, 275, 279, 281, 285, 287, 291, 293, 297, 299, 303, 305, |
| 239 | 309, 311, 315, 317, 321, 323, 327, 329, 333, 335, 339, 341, 345, 347, |
| 240 | 351, 353, 357, 359, 363, 365, 369, 371, 375, 377, 381, 383, 387, 389, |
| 241 | 393, 395, 399, 401, 405, 407, 411, 413, 417, 419, 423, 425, 429, 431, |
| 242 | 435, 437, 441, 443, 447, 449, 453, 455, 459, 461, 465, 467, 471, 473, |
| 243 | 477, 479, 483, 485, 489, 491, 495, 497, 501, 503, 507, 509, 513, 515, |
| 244 | 519, 521, 525, 527, 531, 533, 537, 539, 543, 545, 549, 551, 555, 557, |
| 245 | 561, 563, 567, 569, 573, 575, 579, 581, 585, 587, 591, 593, 597, 599, |
| 246 | 603, 605, 609, 611, 615, 617, 621, 623, 627, 629, 633, 635, 639, 641, |
| 247 | 645, 647, 651, 653, 657, 659, 663, 665, 669, 671, -1 |
| 248 | ], |
| 249 | name = "cs3", |
| 250 | description =""" CS3 convolutional code: |
| 251 | G0 = 1 + D3 + D4 |
| 252 | G1 = 1 + D + D3 + D4 |
| 253 | """ |
| 254 | ) |
| 255 | |
| 256 | TCH_AFS_12_2 = ConvolutionalCode( |
| 257 | 250, |
| 258 | [ |
| 259 | ( 1, 1 ), |
| 260 | ( G1, G0 ), |
| 261 | ], |
| 262 | puncture = [ |
| 263 | 321, 325, 329, 333, 337, 341, 345, 349, 353, 357, 361, 363, |
| 264 | 365, 369, 373, 377, 379, 381, 385, 389, 393, 395, 397, 401, |
| 265 | 405, 409, 411, 413, 417, 421, 425, 427, 429, 433, 437, 441, |
| 266 | 443, 445, 449, 453, 457, 459, 461, 465, 469, 473, 475, 477, |
| 267 | 481, 485, 489, 491, 493, 495, 497, 499, 501, 503, 505, 507, |
| 268 | -1 |
| 269 | ], |
| 270 | name = 'tch_afs_12_2', |
| 271 | description = """TCH/AFS 12.2 convolutional code: |
| 272 | 250 bits block, rate 1/2, punctured |
| 273 | G0/G0 = 1 |
| 274 | G1/G0 = 1 + D + D3 + D4 / 1 + D3 + D4 |
| 275 | """ |
| 276 | ) |
| 277 | |
| 278 | TCH_AFS_10_2 = ConvolutionalCode( |
| 279 | 210, |
| 280 | [ |
| 281 | ( G1, G3 ), |
| 282 | ( G2, G3 ), |
| 283 | ( 1, 1 ), |
| 284 | ], |
| 285 | puncture = [ |
| 286 | 1, 4, 7, 10, 16, 19, 22, 28, 31, 34, 40, 43, |
| 287 | 46, 52, 55, 58, 64, 67, 70, 76, 79, 82, 88, 91, |
| 288 | 94, 100, 103, 106, 112, 115, 118, 124, 127, 130, 136, 139, |
| 289 | 142, 148, 151, 154, 160, 163, 166, 172, 175, 178, 184, 187, |
| 290 | 190, 196, 199, 202, 208, 211, 214, 220, 223, 226, 232, 235, |
| 291 | 238, 244, 247, 250, 256, 259, 262, 268, 271, 274, 280, 283, |
| 292 | 286, 292, 295, 298, 304, 307, 310, 316, 319, 322, 325, 328, |
| 293 | 331, 334, 337, 340, 343, 346, 349, 352, 355, 358, 361, 364, |
| 294 | 367, 370, 373, 376, 379, 382, 385, 388, 391, 394, 397, 400, |
| 295 | 403, 406, 409, 412, 415, 418, 421, 424, 427, 430, 433, 436, |
| 296 | 439, 442, 445, 448, 451, 454, 457, 460, 463, 466, 469, 472, |
| 297 | 475, 478, 481, 484, 487, 490, 493, 496, 499, 502, 505, 508, |
| 298 | 511, 514, 517, 520, 523, 526, 529, 532, 535, 538, 541, 544, |
| 299 | 547, 550, 553, 556, 559, 562, 565, 568, 571, 574, 577, 580, |
| 300 | 583, 586, 589, 592, 595, 598, 601, 604, 607, 609, 610, 613, |
| 301 | 616, 619, 621, 622, 625, 627, 628, 631, 633, 634, 636, 637, |
| 302 | 639, 640, -1 |
| 303 | ], |
| 304 | name = 'tch_afs_10_2', |
| 305 | description = """TCH/AFS 10.2 kbits convolutional code: |
| 306 | G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4 |
| 307 | G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4 |
| 308 | G3/G3 = 1 |
| 309 | """ |
| 310 | ) |
| 311 | |
| 312 | TCH_AFS_7_95 = ConvolutionalCode( |
| 313 | 165, |
| 314 | [ |
| 315 | ( 1, 1 ), |
| 316 | ( G5, G4 ), |
| 317 | ( G6, G4 ), |
| 318 | ], |
| 319 | puncture = [ |
| 320 | 1, 2, 4, 5, 8, 22, 70, 118, 166, 214, 262, 310, |
| 321 | 317, 319, 325, 332, 334, 341, 343, 349, 356, 358, 365, 367, |
| 322 | 373, 380, 382, 385, 389, 391, 397, 404, 406, 409, 413, 415, |
| 323 | 421, 428, 430, 433, 437, 439, 445, 452, 454, 457, 461, 463, |
| 324 | 469, 476, 478, 481, 485, 487, 490, 493, 500, 502, 503, 505, |
| 325 | 506, 508, 509, 511, 512, -1 |
| 326 | ], |
| 327 | name = 'tch_afs_7_95', |
| 328 | description = """TCH/AFS 7.95 kbits convolutional code: |
| 329 | G4/G4 = 1 |
| 330 | G5/G4 = 1 + D + D4 + D6 / 1 + D2 + D3 + D5 + D6 |
| 331 | G6/G4 = 1 + D + D2 + D3 + D4 + D6 / 1 + D2 + D3 + D5 + D6 |
| 332 | """ |
| 333 | ) |
| 334 | |
| 335 | TCH_AFS_7_4 = ConvolutionalCode( |
| 336 | 154, |
| 337 | [ |
| 338 | ( G1, G3 ), |
| 339 | ( G2, G3 ), |
| 340 | ( 1, 1 ), |
| 341 | ], |
| 342 | puncture = [ |
| 343 | 0, 355, 361, 367, 373, 379, 385, 391, 397, 403, 409, 415, |
| 344 | 421, 427, 433, 439, 445, 451, 457, 460, 463, 466, 468, 469, |
| 345 | 471, 472, -1 |
| 346 | ], |
| 347 | name = 'tch_afs_7_4', |
| 348 | description = """TCH/AFS 7.4 kbits convolutional code: |
| 349 | G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4 |
| 350 | G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4 |
| 351 | G3/G3 = 1 |
| 352 | """ |
| 353 | ) |
| 354 | |
| 355 | TCH_AFS_6_7 = ConvolutionalCode( |
| 356 | 140, |
| 357 | [ |
| 358 | ( G1, G3 ), |
| 359 | ( G2, G3 ), |
| 360 | ( 1, 1 ), |
| 361 | ( 1, 1 ), |
| 362 | ], |
| 363 | puncture = [ |
| 364 | 1, 3, 7, 11, 15, 27, 39, 55, 67, 79, 95, 107, |
| 365 | 119, 135, 147, 159, 175, 187, 199, 215, 227, 239, 255, 267, |
| 366 | 279, 287, 291, 295, 299, 303, 307, 311, 315, 319, 323, 327, |
| 367 | 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 369, 371, |
| 368 | 375, 377, 379, 383, 385, 387, 391, 393, 395, 399, 401, 403, |
| 369 | 407, 409, 411, 415, 417, 419, 423, 425, 427, 431, 433, 435, |
| 370 | 439, 441, 443, 447, 449, 451, 455, 457, 459, 463, 465, 467, |
| 371 | 471, 473, 475, 479, 481, 483, 487, 489, 491, 495, 497, 499, |
| 372 | 503, 505, 507, 511, 513, 515, 519, 521, 523, 527, 529, 531, |
| 373 | 535, 537, 539, 543, 545, 547, 549, 551, 553, 555, 557, 559, |
| 374 | 561, 563, 565, 567, 569, 571, 573, 575, -1 |
| 375 | ], |
| 376 | name = 'tch_afs_6_7', |
| 377 | description = """TCH/AFS 6.7 kbits convolutional code: |
| 378 | G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4 |
| 379 | G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4 |
| 380 | G3/G3 = 1 |
| 381 | G3/G3 = 1 |
| 382 | """ |
| 383 | ) |
| 384 | |
| 385 | TCH_AFS_5_9 = ConvolutionalCode( |
| 386 | 124, |
| 387 | [ |
| 388 | ( G4, G6 ), |
| 389 | ( G5, G6 ), |
| 390 | ( 1, 1), |
| 391 | ( 1, 1), |
| 392 | ], |
| 393 | puncture = [ |
| 394 | 0, 1, 3, 5, 7, 11, 15, 31, 47, 63, 79, 95, |
| 395 | 111, 127, 143, 159, 175, 191, 207, 223, 239, 255, 271, 287, |
| 396 | 303, 319, 327, 331, 335, 343, 347, 351, 359, 363, 367, 375, |
| 397 | 379, 383, 391, 395, 399, 407, 411, 415, 423, 427, 431, 439, |
| 398 | 443, 447, 455, 459, 463, 467, 471, 475, 479, 483, 487, 491, |
| 399 | 495, 499, 503, 507, 509, 511, 512, 513, 515, 516, 517, 519, |
| 400 | -1 |
| 401 | ], |
| 402 | name = 'tch_afs_5_9', |
| 403 | description = """TCH/AFS 5.9 kbits convolutional code: |
| 404 | 124 bits |
| 405 | G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6 |
| 406 | G5/G6 = 1 + D + D4 + D6 / 1 + D + D2 + D3 + D4 + D6 |
| 407 | G6/G6 = 1 |
| 408 | G6/G6 = 1 |
| 409 | """ |
| 410 | ) |
| 411 | |
| 412 | TCH_AFS_5_15 = ConvolutionalCode( |
| 413 | 109, |
| 414 | [ |
| 415 | ( G1, G3 ), |
| 416 | ( G1, G3 ), |
| 417 | ( G2, G3 ), |
| 418 | ( 1, 1 ), |
| 419 | ( 1, 1 ), |
| 420 | ], |
| 421 | puncture = [ |
| 422 | 0, 4, 5, 9, 10, 14, 15, 20, 25, 30, 35, 40, |
| 423 | 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, |
| 424 | 170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280, |
| 425 | 290, 300, 310, 315, 320, 325, 330, 334, 335, 340, 344, 345, |
| 426 | 350, 354, 355, 360, 364, 365, 370, 374, 375, 380, 384, 385, |
| 427 | 390, 394, 395, 400, 404, 405, 410, 414, 415, 420, 424, 425, |
| 428 | 430, 434, 435, 440, 444, 445, 450, 454, 455, 460, 464, 465, |
| 429 | 470, 474, 475, 480, 484, 485, 490, 494, 495, 500, 504, 505, |
| 430 | 510, 514, 515, 520, 524, 525, 529, 530, 534, 535, 539, 540, |
| 431 | 544, 545, 549, 550, 554, 555, 559, 560, 564, -1 |
| 432 | ], |
| 433 | name = 'tch_afs_5_15', |
| 434 | description = """TCH/AFS 5.15 kbits convolutional code: |
| 435 | G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4 |
| 436 | G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4 |
| 437 | G2/G3 = 1 + D2 + D4 / 1 + D + D2 + D3 + D4 |
| 438 | G3/G3 = 1 |
| 439 | G3/G3 = 1 |
| 440 | """ |
| 441 | ) |
| 442 | |
| 443 | TCH_AFS_4_75 = ConvolutionalCode( |
| 444 | 101, |
| 445 | [ |
| 446 | ( G4, G6 ), |
| 447 | ( G4, G6 ), |
| 448 | ( G5, G6 ), |
| 449 | ( 1, 1 ), |
| 450 | ( 1, 1 ), |
| 451 | ], |
| 452 | puncture = [ |
| 453 | 0, 1, 2, 4, 5, 7, 9, 15, 25, 35, 45, 55, |
| 454 | 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, |
| 455 | 185, 195, 205, 215, 225, 235, 245, 255, 265, 275, 285, 295, |
| 456 | 305, 315, 325, 335, 345, 355, 365, 375, 385, 395, 400, 405, |
| 457 | 410, 415, 420, 425, 430, 435, 440, 445, 450, 455, 459, 460, |
| 458 | 465, 470, 475, 479, 480, 485, 490, 495, 499, 500, 505, 509, |
| 459 | 510, 515, 517, 519, 520, 522, 524, 525, 526, 527, 529, 530, |
| 460 | 531, 532, 534, -1 |
| 461 | ], |
| 462 | name = 'tch_afs_4_75', |
| 463 | description = """TCH/AFS 4.75 kbits convolutional code: |
| 464 | G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6 |
| 465 | G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6 |
| 466 | G5/G6 = 1 + D + D4 + D6 / 1 + D + D2 + D3 + D4 + D6 |
| 467 | G6/G6 = 1 |
| 468 | G6/G6 = 1 |
| 469 | """ |
| 470 | ) |
| 471 | |
| 472 | def gen_c(dest, pref, code): |
| 473 | f = open(os.path.join(dest, 'conv_' + code.name + '_gen.c'), 'w') |
| 474 | print >>f, mod_license |
| 475 | print >>f, "#include <stdint.h>" |
| 476 | print >>f, "#include <osmocom/core/conv.h>" |
| 477 | code.gen_tables(pref, f) |
| 478 | |
| 479 | if __name__ == '__main__': |
| 480 | print >>sys.stderr, "Generating convolutional codes..." |
| 481 | prefix = "gsm0503" |
| 482 | path = sys.argv[1] if len(sys.argv) > 1 else os.getcwd() |
| 483 | gen_c(path, prefix, xCCH) |
| 484 | gen_c(path, prefix, CS2) |
| 485 | gen_c(path, prefix, CS3) |
| 486 | gen_c(path, prefix, TCH_AFS_12_2) |
| 487 | gen_c(path, prefix, TCH_AFS_10_2) |
| 488 | gen_c(path, prefix, TCH_AFS_7_95) |
| 489 | gen_c(path, prefix, TCH_AFS_7_4) |
| 490 | gen_c(path, prefix, TCH_AFS_6_7) |
| 491 | gen_c(path, prefix, TCH_AFS_5_9) |
| 492 | gen_c(path, prefix, TCH_AFS_5_15) |
| 493 | gen_c(path, prefix, TCH_AFS_4_75) |
| 494 | print >>sys.stderr, "\tdone." |