g723_func.c

G.723在ARM上的实现。实现平台为Linux2.4.8+ Intel Xscal。包括源代码

(Ipp16s)	  2366,  2515,  1953,  2865,  2838,  2522,  2535,  3465,  2011,
(Ipp16s)	  3381,  4127,  2638,   836,  2667,  2289,  1761,  2773,  2337,
(Ipp16s)	  1415,  3325,  2911,  2354,  3138,  3126,  2659,  4192,  4010,
(Ipp16s)	  1048,  1786,  1818,  1242,  2111,  2240,  1512,  2079,  2780,
(Ipp16s)	  1573,  2491,  3138,  2230,  2377,  2782,   416,  1773,  2704,
(Ipp16s)	   725,  2336,  3297,  1252,  2373,  3978,  2094,  2268,  3568,
(Ipp16s)	  2011,  2712,  4528,  1341,  3507,  3876,  1216,  3919,  4922,
(Ipp16s)	  1693,  4793,  6012
};

/* LSF split VQ, codebook 2 (LSF3,4,5) 
   Codebook dimension is 256 x 3, i.e. 3 elements x 8-bits */
Ipp16s lsfSplitVQ_Cb345[] =
{
(Ipp16s)	     0,     0,     0, -2114, -1302,    76, -2652, -1278, -1368,
(Ipp16s)     -2847,  -828,  -349, -3812, -2190,  -349, -3946,  -364,  -449,
(Ipp16s)     -2725, -4492, -3607, -3495, -4764, -1744,   -51,  -756,    84,
(Ipp16s)      -153, -1191,   504,   108, -1418,  1167,  -835,  -896,   390,
(Ipp16s)      -569, -1702,    87, -1151, -1818,   933, -1826, -2547,   411,
(Ipp16s)     -1842, -1818,  1451, -2438, -1611,   781, -2747, -2477,  1311,
(Ipp16s)      -940,  1252,   477, -1629,  1688,   602, -1202,   617,   280,
(Ipp16s)     -1737,   393,   580, -1528,  1077,  1199, -2165,  -161,  1408,
(Ipp16s)     -2504, -1087,  2371, -3458,  -175,  1395, -1397,   -98,  -843,
(Ipp16s)     -2252,  -177, -1149, -1489,  -726, -1283, -1558,  -265, -1744,
(Ipp16s)     -1867,  -821, -1897, -2062, -1516, -2340, -2595, -1142, -2861,
(Ipp16s)       170,    46,  -819,  -193,  -204, -1151,   326,  -196, -1532,
(Ipp16s)       780,   329,  -816,   201,   369, -1243,   650,  -209, -1060,
(Ipp16s)      1144,   -15, -1216,  1203,  -259, -1867,  -890,  -564, -1430,
(Ipp16s)      -638,  -852, -1921,   177,  -739, -1358,  -261,  -526, -1666,
(Ipp16s)       206,  -407, -2255,   338,  -526,  -822,   421, -1095, -1009,
(Ipp16s)       765,  -607, -1408,   825, -1295, -2004,   357,  -905, -1815,
(Ipp16s)       -58, -1248, -1588,  -596, -1436, -2046,   -73, -1159, -2116,
(Ipp16s)      -115, -1382, -2581,  -160, -1723, -1952,    -6, -2196, -2954,
(Ipp16s)      -649, -1705, -2603,  -617, -1453, -3282,  -949, -2019, -3102,
(Ipp16s)      -812,  1544,  1937, -1854,   574,  2000, -1463,  1140,  2649,
(Ipp16s)     -2683,  1748,  1452, -2486,  2241,  2523,   783,  1910,  1435,
(Ipp16s)       581,  2682,  1376,   236,  2197,  1885,  -453,  2943,  2057,
(Ipp16s)      -682,  2178,  2565, -1342,  3201,  3328,  -288,  -184,   262,
(Ipp16s)       121,  -149,  -183,   758,  -412,   206,  1038,  -204,   853,
(Ipp16s)      1577,  -457,   700,   937,  -640,  -567,  1508,  -528, -1024,
(Ipp16s)      -225,  -527,  -427,  -564, -1095,  -332,  -742,  -353,  -186,
(Ipp16s)     -1288,  -459,    84, -1853,  -484,  -274, -1554,  -731,   825,
(Ipp16s)     -2425,  -234,   382, -1722,   293,  -271, -2515,   425,  -564,
(Ipp16s)     -2599,   818,   464,  -358,   118,  -375,  -613,   198,  -874,
(Ipp16s)      -690,   683,  -324, -1352,  1155,  -168, -1093,   129,  -324,
(Ipp16s)     -1184,   611,  -858,   433,   386,  -372,  -120,   486,  -634,
(Ipp16s)       234,   851,  -631,   602,   128,    46,  1099,   410,   159,
(Ipp16s)       715,  -145,  -424,  1198,   -85,  -593,  1390,   367,  -358,
(Ipp16s)      1683,   362,  -964,  1711,   622,    45,  2033,   833,  -383,
(Ipp16s)      2890,   549,  -506,     7,   401,    52,    72,   811,   415,
(Ipp16s)       566,   668,    41,   467,  1218,   130,    68,   957,  -187,
(Ipp16s)       -25,  1649,  -103,  -661,   260,   214,  -925,   -94,   612,
(Ipp16s)      -321,  -422,   965,  -788,  -672,  1783,   400,  -673,   779,
(Ipp16s)       741,  -595,  1635,  -161,   307,   657,  -382,   836,   871,
(Ipp16s)      -814,   400,  1223,   364,   606,  1247,    57,    75,  1571,
(Ipp16s)       151,   471,  2287,   -81,  1021,  1502,   227,  1470,  1097,
(Ipp16s)       658,  1275,  1653,   664,  1478,  2377,   263,  -127,   444,
(Ipp16s)       264,    89,   969,   794,   171,   576,   821,   186,  1226,
(Ipp16s)       404,   462,   517,   339,   918,   794,  1280,  1423,   196,
(Ipp16s)      1453,  2019,   365,  1615,  1481,   672,  2394,  1708,   508,
(Ipp16s)       806,  1238,   573,   713,  1158,  1078,  1285,  1436,  1232,
(Ipp16s)      1790,  1188,  1141,   765,   643,   864,  1032,   797,  1279,
(Ipp16s)       900,   563,  1827,  1514,   673,  2312,  1544,  1129,  3240,
(Ipp16s)      1469,  1050,  1594,  1945,  1318,  1988,  2397,  2026,  2060,
(Ipp16s)      3538,  2057,  2620,  1249,  -118,    74,  1727,   194,   421,
(Ipp16s)      2078,   -50,  -463,   970,   688,  -432,  1149,   952,  -110,
(Ipp16s)      1254,  1275,  -651,  1386,   929,   401,  1960,  1167,   232,
(Ipp16s)       407,  -752,  -243,   859, -1118,   172,  -227,  -860,  -992,
(Ipp16s)      -796, -1175, -1380,     8, -1282,  -388,   353, -1781, -1037,
(Ipp16s)      -732,  -397,  -807,  -853,   -28, -1342, -1229, -1207, -1959,
(Ipp16s)     -1015, -1125, -2543, -1452, -1791, -2725, -1891, -2416, -3269,
(Ipp16s)      -918, -1629,  -783,  -580, -2155,  -698, -1097, -2364,   -96,
(Ipp16s)     -1387, -1513,     7, -1588, -2076,  -664, -1473, -2740,  -784,
(Ipp16s)     -2378, -3149,   -56, -2856, -2092,  -169, -3391, -3708,   316,
(Ipp16s)     -1176,  -890,  -614, -1944, -1061,  -800,  -299, -1517, -1000,
(Ipp16s)      -640, -1850, -1526, -1454, -1536, -1233, -1890, -1955, -1756,
(Ipp16s)     -1086, -1921, -2122,  -750, -2325, -2260, -1325, -2413, -2673,
(Ipp16s)     -1114, -2542, -3459, -1341, -2901, -3963, -1160, -2226, -1393,
(Ipp16s)     -1001, -2772, -1573, -1594, -2641, -1978, -1534, -3046, -2624,
(Ipp16s)     -2224, -2196,  -675, -2807, -3054, -1102, -2008, -2840, -1186,
(Ipp16s)     -1980, -3332, -1695, -1715, -3562,  -505, -2527, -4000, -1887,
(Ipp16s)     -2333, -2734, -2296, -3440, -2401, -3211, -2008, -3528, -3337,
(Ipp16s)     -2247, -3291, -4510,  -475,   949,   155,  -149,  1365,   545,
(Ipp16s)      -757,  1644,  1083,  -217,  2053,  1353, -1433,  2301,  1462,
(Ipp16s)       495,  1661,   529,    10,  2037,   740,  2082,  1898,   978,
(Ipp16s)      2831,  2294,   911,   842,   793,   420,  1223,  1023,   863,
(Ipp16s)      1237,   451,   780,  1744,   708,   822,  1533,   284,  1384,
(Ipp16s)      2135,   609,  1538,  2305,   626,   540,  2368,  1187,   955,
(Ipp16s)      2586,  1255,    -7,  3116,  1131,   726,  3431,  1730,   428,
(Ipp16s)      2734,  1648,  1307,  2988,  1231,  2010,  3523,  2024,  1488,
(Ipp16s)      1034,  1657,   871,  1206,  2163,  1036,  1807,  2372,  1233,
(Ipp16s)      1808,  1769,  1493,  1573,  2332,  1779,  1216,  1609,  1866,
(Ipp16s)      1480,  1898,  2513,   465,  2708,  2776,   771,  3638,  3338,
(Ipp16s)      1869,  2599,  2623,  2825,  2745,  2468,  2638,  2439,  1585,
(Ipp16s)      2094,  2970,  1308,  2022,  3057,  1999,  3428,  2912,  1816,
(Ipp16s)      4536,  2974,  2129,  1046,  2563,  2086,  1363,  3562,  2318,
(Ipp16s)      2511,  1891,  2984,  1866,  2306,  3986,  3272,  2924,  3682,
(Ipp16s)      3146,  3564,  2272,  3592,  3968,  2822,  2431,  3369,  3069,
(Ipp16s)      1931,  4709,  3090,  2629,  4220,  3986,  4639,  4056,  3664,
(Ipp16s)      4035,  5334,  4912
};

/* LSF split VQ, codebook 3 (LSF6,7,8,9).  
   Codebook dimension is 256 x 4, i.e. 4 elements x 8-bits */
Ipp16s lsfSplitVQ_Cb6789[] =
{
(Ipp16s)	     0,      0,      0,      0,    601,    512,   -542,    334,
(Ipp16s)       428,   1087,   -484,   -132,    652,    622,   -391,   -572,
(Ipp16s)       378,    799,    141,   -860,   1040,    409,    112,   -554,
(Ipp16s)      1123,    670,    -75,   -847,   1421,    494,   -315,  -1095,
(Ipp16s)       787,   1001,    114,   -460,    988,   1672,    216,   -681,
(Ipp16s)      1007,   1241,   -132,  -1247,   1073,    399,    186,     -5,
(Ipp16s)      1262,    193,   -694,   -129,    325,    196,     51,   -641,
(Ipp16s)       861,    -59,    350,   -458,   1261,    567,    586,   -346,
(Ipp16s)      1532,    885,    210,   -517,   2027,    937,    113,   -792,
(Ipp16s)      1383,   1064,    334,     38,   1964,   1468,    459,    133,
(Ipp16s)      2062,   1186,    -98,   -121,   2577,   1445,    506,   -373,
(Ipp16s)      2310,   1682,     -2,   -960,   2876,   1939,    765,    138,
(Ipp16s)      3581,   2360,    649,   -414,    219,    176,   -398,   -309,
(Ipp16s)       434,    -78,   -435,   -880,   -344,    301,    265,   -552,
(Ipp16s)      -915,    470,    657,   -380,    419,   -432,   -163,   -453,
(Ipp16s)       351,   -953,      8,   -562,    789,    -43,     20,   -958,
(Ipp16s)       302,   -594,   -352,  -1159,   1040,    108,   -668,   -924,
(Ipp16s)      1333,    210,  -1217,  -1663,    483,    589,   -350,  -1140,
(Ipp16s)      1003,    824,   -802,  -1184,    745,     58,   -589,  -1443,
(Ipp16s)       346,    247,   -915,  -1683,    270,    796,   -720,  -2043,
(Ipp16s)      1208,    722,   -222,   -193,   1486,   1180,   -412,   -672,
(Ipp16s)      1722,    179,    -69,   -521,   2047,    860,   -666,  -1410,
(Ipp16s)      -146,    222,   -281,   -805,   -189,     90,   -114,  -1307,
(Ipp16s)      -152,   1086,   -241,   -764,   -439,    733,   -601,  -1302,
(Ipp16s)      -833,   -167,   -351,   -601,   -856,   -422,   -411,  -1059,
(Ipp16s)      -747,   -355,   -582,  -1644,   -837,    210,   -916,  -1144,
(Ipp16s)     -1800,     32,   -878,  -1687,    -48,    -23,  -1146,     52,
(Ipp16s)      -350,   -409,  -1656,   -364,    265,   -728,   -858,   -577,
(Ipp16s)       458,   -247,  -1141,   -997,    691,   -407,  -1988,  -1161,
(Ipp16s)       -66,   -104,   -705,  -1249,   -431,    -93,  -1191,  -1844,
(Ipp16s)       203,   -732,  -1000,  -1693,     10,   -832,  -1846,  -1819,
(Ipp16s)       493,   -128,  -1436,  -1768,    488,   -311,  -1730,  -2540,
(Ipp16s)      -653,   -532,  -1150,  -1172,  -1086,   -289,  -1706,  -1533,
(Ipp16s)      -699,  -1205,  -1216,  -1766,  -1032,  -1481,  -2074,  -1523,
(Ipp16s)      -721,  -1220,  -2277,  -2600,     12,   -539,  -1484,  -1131,
(Ipp16s)       -40,   -911,  -2106,   -441,   -471,   -484,  -2267,  -1549,
(Ipp16s)      -141,   -988,  -3006,  -1721,  -1545,  -2102,   -583,    342,
(Ipp16s)     -1383,  -2772,   -386,    -13,  -2118,  -2589,  -1205,     72,
(Ipp16s)     -2147,  -3231,   -965,    390,  -2949,  -3300,   -621,    637,
(Ipp16s)     -3907,  -4138,   -865,    803,  -1287,   -845,   -375,   -548,
(Ipp16s)     -1416,  -1169,   -487,  -1277,  -1400,  -1690,  -1027,   -418,
(Ipp16s)     -2018,  -1909,  -1188,  -1260,  -1418,  -2222,  -2029,   -128,
(Ipp16s)     -2067,  -2998,  -2693,   -310,   -950,  -1028,  -1538,    185,
(Ipp16s)     -1616,   -915,  -2205,   -549,     19,   -821,  -1145,    352,
(Ipp16s)       184,  -1175,  -1356,   -627,   -547,  -1088,  -1661,   -911,
(Ipp16s)      -216,  -1502,  -2197,   -948,   -795,  -1306,  -2374,   -451,
(Ipp16s)      -924,  -1889,  -2796,   -680,   -600,  -1614,  -3609,   -885,
(Ipp16s)     -2392,  -2528,    319,    303,  -2908,  -2095,   -310,    573,
(Ipp16s)     -3460,  -2141,     49,   -113,  -2231,   -448,    675,   -146,
(Ipp16s)     -2805,   -532,   1231,    479,  -2684,   -486,   -200,    611,
(Ipp16s)     -3525,   -971,   -198,    704,  -3707,    173,    349,    254,
(Ipp16s)     -4734,  -1447,    -34,    880,    777,   -512,    114,    -10,
(Ipp16s)      1250,    -66,    442,     -5,    604,    613,    452,   -352,
(Ipp16s)      1224,    777,    675,  -1014,  -1372,    -79,  -1208,   -238,
(Ipp16s)     -2389,    -17,  -1157,   -818,  -1504,   -673,  -1133,  -1060,
(Ipp16s)     -1984,   -799,  -2005,  -1973,  -2037,   -798,  -1068,   -105,
(Ipp16s)     -3190,   -899,  -1817,   -194,   -156,   -886,    394,   -318,
(Ipp16s)      -258,  -1283,    551,    202,   -536,  -1729,    910,    331,
(Ipp16s)      -847,  -1109,    795,   -163,  -1171,  -1128,    715,    519,
(Ipp16s)     -1080,  -1319,   1685,    668,  -1000,  -1921,     96,    211,
(Ipp16s)     -1487,  -2148,    831,    174,  -1139,   -374,    414,     -4,
(Ipp16s)     -1517,  -1383,    396,   -352,  -1012,    439,    -59,   -967,
(Ipp16s)     -1812,    706,   -440,  -1030,  -1971,   -329,    -34,   -827,
(Ipp16s)     -2472,  -1588,   -151,   -606,  -2161,    374,   -281,     76,
(Ipp16s)     -3012,    231,    -15,   -690,   1104,    566,    721,    209,
(Ipp16s)      1685,    564,    383,     98,   1898,    750,    792,    -97,
(Ipp16s)       556,    -64,    561,    -93,    876,    162,    913,    -22,
(Ipp16s)       961,    675,   1296,    140,    756,   -396,    851,    544,
(Ipp16s)       360,   -303,   1341,    396,    878,    -22,   1464,    863,
(Ipp16s)      -309,   -273,    642,   -129,   -686,    -82,    842,    454,
(Ipp16s)        -5,    -47,   1069,    998,    -94,    967,   1277,    298,
(Ipp16s)      -489,    385,   1473,    746,   -369,   -717,   1333,    242,
(Ipp16s)       281,   -993,   1726,    924,    464,    601,   1575,   1376,
(Ipp16s)      -250,    206,   2339,   1175,   -438,    377,   -597,   -285,
(Ipp16s)     -1020,    787,   -790,   -287,   -458,   -410,    215,    295,
(Ipp16s)      -589,   -860,   -121,    797,  -1175,    122,   -437,    466,
(Ipp16s)     -1480,   -121,    367,    924,    234,    323,    770,   -555,
(Ipp16s)       145,     30,    996,     26,     66,    849,     93,   -145,
(Ipp16s)      -117,   1261,    474,   -399,  -1495,   1051,    218,   -506,
(Ipp16s)     -1390,    694,    994,     88,    616,      7,     78,    304,
(Ipp16s)      1060,     52,    -62,    835,    833,    454,    649,   1359,
(Ipp16s)      -770,    464,     47,     93,   -574,   1199,    -39,    379,
(Ipp16s)       114,    -98,    488,    485,    727,    244,    606,    696,
(Ipp16s)       -76,    455,    671,    546,   -565,    -13,    145,    819,
(Ipp16s)      -376,    569,    448,   1128,    218,    122,    265,   1167,
(Ipp16s)       230,    738,    932,   1003,    138,    477,     36,    450,
(Ipp16s)       404,    787,    -73,   1000,    497,   1259,    387,   1231,
(Ipp16s)        17,    207,    195,    -79,    562,    358,     53,   -158,
(Ipp16s)       493,    387,    478,    189,    678,    831,    640,    558,
(Ipp16s)      -197,    523,    613,     57,    429,    894,    769,    111,
(Ipp16s)        67,   1174,    568,    511,   1242,    824,    251,    840,
(Ipp16s)      1419,   1074,    864,    481,    924,   1474,    669,    724,
(Ipp16s)      1539,   1879,    654,   1590,    445,    337,   1111,    541,
(Ipp16s)       472,   1421,   1264,   1094,    794,    735,   1103,    668,
(Ipp16s)      1055,    863,   1192,   1020,    778,   1105,    806,   1798,
(Ipp16s)      1052,   1527,   1587,   2151,    881,   1552,   1265,    391,
(Ipp16s)       726,    872,   1812,    601,   1469,    280,   1008,    616,
(Ipp16s)      1403,    577,   1803,   1244,   1650,   1314,   1148,   1072,
(Ipp16s)      1297,   1669,   1911,   1026,   2093,   1044,   2115,   1189,
(Ipp16s)      1644,   1961,   2587,   1512,     25,   -315,     -9,   -106,
(Ipp16s)       290,   -339,    428,   -444,    -68,   -783,    735,    772,
(Ipp16s)       245,   -555,    468,     47,    334,   -895,    814,    146,
(Ipp16s)       235,    368,   -964,   -959,   -203,    315,  -1566,  -1217,
(Ipp16s)       801,     17,   -276,   -354,    894,   -495,   -789,   -635,
(Ipp16s)       716,    291,  -1189,   -357,    560,   -260,   -733,     -2,
(Ipp16s)       679,   -508,  -1429,    211,    -51,    -62,   -428,    557,
(Ipp16s)       322,   -638,   -211,    614,   -878,  -1057,    -84,    -71,
(Ipp16s)      -388,  -1415,   -167,   -318,   -754,  -1574,    214,   -539,
(Ipp16s)     -1419,  -2004,    -92,   -787,    -47,   -856,   -347,   -255,
(Ipp16s)        23,  -1211,   -173,    320,   -658,   -487,   -893,    353,
(Ipp16s)      -783,  -1587,   -584,    507,  -1420,   -859,   -378,    441,
(Ipp16s)     -2095,  -1491,   -137,    439,   -321,  -1450,  -1288,    -12,
(Ipp16s)      -359,  -2113,   -553,     -8,   -831,  -1918,  -1561,     32,
(Ipp16s)     -1014,  -2487,  -1359,   -939,   -475,   -311,   -169,   -236,
(Ipp16s)      -907,   -426,    276,   -611,    -96,   -400,     50,   -710,
(Ipp16s)      -426,  -1022,    -10,   -985,   -197,   -258,   -744,   -575,
(Ipp16s)      -611,   -930,   -771,   -394,   -267,   -776,   -612,   -939,
(Ipp16s)      -256,  -1346,   -802,  -1122,   -796,  -1570,   -825,   -754,
(Ipp16s)       712,    876,    141,    227,    981,   1509,     85,    124,
(Ipp16s)      1462,   1228,    979,    -39,   1734,    999,   1481,    440,
(Ipp16s)      2293,   1116,    769,    440,   2504,   1480,   1241,    356,
(Ipp16s)      2474,   1909,   1558,    810,    917,   1134,    607,   -134,
(Ipp16s)       509,   1809,    781,   -123,   1712,   1506,    559,   -423,
(Ipp16s)      2037,   2317,    726,   -155,   3031,   2676,   1203,    331,
(Ipp16s)      3664,   3274,   1768,    531,   1610,   1839,    867,    183,
(Ipp16s)      1774,   1972,   1538,     97,   1822,   2158,   1282,    659,
(Ipp16s)      2222,   2758,   1818,    900,   3251,   2124,   1723,    996,
(Ipp16s)      3633,   2336,   2408,   1453,   2923,   3517,   2567,   1318
};

/* Fixed (ACELP, MPMLQ) codebook gain quantization table */
Ipp16s fixedCodebookGainQuant[] = 
{
	     1,      2,      3,      4,       6,     9,     13,     18, 
	    26,     38,     55,     80,     115,   166,    240,    348,
	   502,	   726,   1050,   1517,    2193,  3170,   4582,   6623 
};

/* MPMLQ codebook pulse position table */
Ipp32s pulsePosTableMPMLQ[6][30] =
{
	{118755L,  98280L,  80730L,  65780L,  53130L,  42504L,  33649L,   
	   26334,   20349,   15504,   11628,    8568,    6188,    4368,
	    3003,    2002,    1287,     792,     462,     252,     126,
		  56,      21,       6,	      1,       0,       0,       0,
		   0,       0},
	{  23751,   20475,   17550,   14950,   12650,   10626,    8855, 
	    7315,    5985,    4845,    3876,    3060,    2380,    1820,
		1365,    1001,     715,     495,     330,     210,     126,
		  70,      35,      15,       5,       1,       0,       0,
		   0,       0},
	{   3654,    3276,    2925,    2600,    2300,    2024,    1771,
	    1540,    1330,    1140,     969,     816,     680,     560,
		 455,     364,     286,     220,     165,     120,      84,
		  56,      35,      20,      10,       4,       1,       0,
		   0,       0},
	{    406,     378,     351,     325,     300,     276,     253, 
	     231,     210,     190,     171,     153,     136,     120, 
		 105,      91,      78,      66,      55,      45,      36, 
		  28,      21,      15,      10,       6,       3,       1, 
		   0,       0},
	{     29,      28,      27,      26,      25,      24,      23,
	      22,      21,      20,      19,      18,      17,      16,
		  15,      14,      13,      12,      11,      10,       9,
		   8,       7,       6,       5,       4,       3,       2,
		   1,       0},
	{      1,       1,       1,       1,       1,       1,       1,
	       1,       1,       1,       1,       1,       1,       1,
		   1,       1,       1,       1,       1,       1,       1,
           1,       1,       1,       1,       1,       1,       1,
		   1,       1}
};

/* VAD decision noise power threshold */
Ipp16s vadNoisePwrThreshold[] =
{
	 9170,   9170,   9170,   9170,  10289,
	 11544, 12953,  14533,  16306,  18296,  20529
};

/* SID gain quantization table, used for comfort noise synthesis */
Ipp16s sidGainQuant[] =
{
	    0,     32,     96
};

/* LSF DC init table */
Ipp16s lsfDcInitTable[] =
{
	  3131,  4721,  7690, 10806, 13872, 16495, 19752, 22260, 25484, 27718
};

/* external functions */
IppStatus appsPreprocess_G723_I(Ipp16s *pSrcSpch, 
								Ipp16s *pDstLpcAnalysisBuf, 
								int enableHighpassFilter,
								Ipp16s *hpfZfir, 
								Ipp32s *hpfZiir, 
								Ipp16s *SpeechHistoryBuf)
{
	int		i;
	Ipp16s	iTemp1, iTemp2;
	Ipp32s	nTemp1, nTemp2, nTemp3;

	/* extract filter memory from encoder state */
	iTemp1 = *hpfZfir;