FreeCalypso > hg > gsm-codec-lib
annotate libgsmfr2/long_term.c @ 449:2af2b5c12268
Library-versions: libtwamr is officially version 1.0.0
author | Mychaela Falconia <falcon@freecalypso.org> |
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date | Fri, 10 May 2024 01:43:05 +0000 |
parents | 65d3304502bd |
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rev | line source |
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1 /* |
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2 * This C source file has been adapted from TU-Berlin libgsm source, |
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3 * original notice follows: |
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4 * |
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5 * Copyright 1992 by Jutta Degener and Carsten Bormann, Technische |
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6 * Universitaet Berlin. See the accompanying file "COPYRIGHT" for |
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7 * details. THERE IS ABSOLUTELY NO WARRANTY FOR THIS SOFTWARE. |
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8 */ |
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9 |
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10 #include <stdint.h> |
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11 #include <assert.h> |
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12 #include "tw_gsmfr.h" |
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13 #include "typedef.h" |
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14 #include "ed_state.h" |
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15 #include "ed_internal.h" |
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16 |
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17 /* |
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18 * 4.2.11 .. 4.2.12 LONG TERM PREDICTOR (LTP) SECTION |
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19 */ |
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20 |
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21 |
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22 /* |
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23 * This module computes the LTP gain (bc) and the LTP lag (Nc) |
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24 * for the long term analysis filter. This is done by calculating a |
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25 * maximum of the cross-correlation function between the current |
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26 * sub-segment short term residual signal d[0..39] (output of |
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27 * the short term analysis filter; for simplification the index |
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28 * of this array begins at 0 and ends at 39 for each sub-segment of the |
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29 * RPE-LTP analysis) and the previous reconstructed short term |
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30 * residual signal dp[ -120 .. -1 ]. A dynamic scaling must be |
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31 * performed to avoid overflow. |
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32 */ |
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33 |
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34 static void Calculation_of_the_LTP_parameters ( |
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35 register word * d, /* [0..39] IN */ |
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36 register word * dp, /* [-120..-1] IN */ |
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37 word * bc_out, /* OUT */ |
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38 word * Nc_out /* OUT */ |
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39 ) |
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40 { |
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41 register int k, lambda; |
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42 word Nc, bc; |
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43 word wt[40]; |
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44 |
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45 longword L_max, L_power; |
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46 word R, S, dmax, scal; |
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47 register word temp; |
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48 |
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49 /* Search of the optimum scaling of d[0..39]. |
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50 */ |
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51 dmax = 0; |
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52 |
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53 for (k = 0; k <= 39; k++) { |
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54 temp = d[k]; |
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55 temp = GSM_ABS( temp ); |
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56 if (temp > dmax) dmax = temp; |
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57 } |
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58 |
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59 temp = 0; |
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60 if (dmax == 0) scal = 0; |
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61 else { |
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62 assert(dmax > 0); |
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63 temp = gsm_norm( (longword)dmax << 16 ); |
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64 } |
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65 |
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66 if (temp > 6) scal = 0; |
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67 else scal = 6 - temp; |
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68 |
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69 assert(scal >= 0); |
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70 |
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71 /* Initialization of a working array wt |
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72 */ |
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73 |
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74 for (k = 0; k <= 39; k++) wt[k] = SASR( d[k], scal ); |
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75 |
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76 /* Search for the maximum cross-correlation and coding of the LTP lag |
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77 */ |
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78 L_max = 0; |
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79 Nc = 40; /* index for the maximum cross-correlation */ |
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80 |
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81 for (lambda = 40; lambda <= 120; lambda++) { |
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82 |
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83 # undef STEP |
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84 # define STEP(k) (longword)wt[k] * dp[k - lambda] |
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85 |
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86 register longword L_result; |
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87 |
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88 L_result = STEP(0) ; L_result += STEP(1) ; |
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89 L_result += STEP(2) ; L_result += STEP(3) ; |
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90 L_result += STEP(4) ; L_result += STEP(5) ; |
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91 L_result += STEP(6) ; L_result += STEP(7) ; |
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92 L_result += STEP(8) ; L_result += STEP(9) ; |
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93 L_result += STEP(10) ; L_result += STEP(11) ; |
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94 L_result += STEP(12) ; L_result += STEP(13) ; |
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95 L_result += STEP(14) ; L_result += STEP(15) ; |
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96 L_result += STEP(16) ; L_result += STEP(17) ; |
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97 L_result += STEP(18) ; L_result += STEP(19) ; |
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98 L_result += STEP(20) ; L_result += STEP(21) ; |
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99 L_result += STEP(22) ; L_result += STEP(23) ; |
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100 L_result += STEP(24) ; L_result += STEP(25) ; |
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101 L_result += STEP(26) ; L_result += STEP(27) ; |
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102 L_result += STEP(28) ; L_result += STEP(29) ; |
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103 L_result += STEP(30) ; L_result += STEP(31) ; |
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104 L_result += STEP(32) ; L_result += STEP(33) ; |
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105 L_result += STEP(34) ; L_result += STEP(35) ; |
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106 L_result += STEP(36) ; L_result += STEP(37) ; |
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107 L_result += STEP(38) ; L_result += STEP(39) ; |
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108 |
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109 if (L_result > L_max) { |
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110 |
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111 Nc = lambda; |
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112 L_max = L_result; |
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113 } |
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114 } |
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115 |
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116 *Nc_out = Nc; |
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117 |
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118 L_max <<= 1; |
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119 |
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120 /* Rescaling of L_max |
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121 */ |
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122 assert(scal <= 100 && scal >= -100); |
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123 L_max = L_max >> (6 - scal); /* sub(6, scal) */ |
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124 |
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125 assert( Nc <= 120 && Nc >= 40); |
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126 |
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127 /* Compute the power of the reconstructed short term residual |
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128 * signal dp[..] |
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129 */ |
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130 L_power = 0; |
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131 for (k = 0; k <= 39; k++) { |
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132 |
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133 register longword L_temp; |
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134 |
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135 L_temp = SASR( dp[k - Nc], 3 ); |
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136 L_power += L_temp * L_temp; |
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137 } |
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138 L_power <<= 1; /* from L_MULT */ |
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139 |
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140 /* Normalization of L_max and L_power |
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141 */ |
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142 |
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143 if (L_max <= 0) { |
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144 *bc_out = 0; |
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145 return; |
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146 } |
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147 if (L_max >= L_power) { |
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148 *bc_out = 3; |
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149 return; |
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150 } |
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151 |
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152 temp = gsm_norm( L_power ); |
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153 |
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154 R = SASR( L_max << temp, 16 ); |
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155 S = SASR( L_power << temp, 16 ); |
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156 |
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157 /* Coding of the LTP gain |
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158 */ |
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159 |
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160 /* Table 4.3a must be used to obtain the level DLB[i] for the |
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161 * quantization of the LTP gain b to get the coded version bc. |
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162 */ |
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163 for (bc = 0; bc <= 2; bc++) if (R <= gsm_mult(S, gsm_DLB[bc])) break; |
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164 *bc_out = bc; |
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165 } |
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166 |
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167 /* 4.2.12 */ |
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168 |
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169 static void Long_term_analysis_filtering ( |
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170 word bc, /* IN */ |
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171 word Nc, /* IN */ |
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172 register word * dp, /* previous d [-120..-1] IN */ |
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173 register word * d, /* d [0..39] IN */ |
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174 register word * dpp, /* estimate [0..39] OUT */ |
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175 register word * e /* long term res. signal [0..39] OUT */ |
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176 ) |
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177 /* |
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178 * In this part, we have to decode the bc parameter to compute |
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179 * the samples of the estimate dpp[0..39]. The decoding of bc needs the |
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180 * use of table 4.3b. The long term residual signal e[0..39] |
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181 * is then calculated to be fed to the RPE encoding section. |
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182 */ |
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183 { |
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184 register int k; |
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185 register longword ltmp; |
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186 |
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187 # undef STEP |
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188 # define STEP(BP) \ |
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189 for (k = 0; k <= 39; k++) { \ |
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190 dpp[k] = GSM_MULT_R( BP, dp[k - Nc]); \ |
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191 e[k] = GSM_SUB( d[k], dpp[k] ); \ |
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192 } |
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193 |
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194 switch (bc) { |
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195 case 0: STEP( 3277 ); break; |
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196 case 1: STEP( 11469 ); break; |
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197 case 2: STEP( 21299 ); break; |
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198 case 3: STEP( 32767 ); break; |
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199 } |
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200 } |
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201 |
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202 void Gsm_Long_Term_Predictor ( /* 4x for 160 samples */ |
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203 struct gsmfr_0610_state * S, |
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204 |
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205 word * d, /* [0..39] residual signal IN */ |
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206 word * dp, /* [-120..-1] d' IN */ |
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207 |
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208 word * e, /* [0..39] OUT */ |
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209 word * dpp, /* [0..39] OUT */ |
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210 word * Nc, /* correlation lag OUT */ |
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211 word * bc /* gain factor OUT */ |
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212 ) |
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213 { |
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214 assert( d ); assert( dp ); assert( e ); |
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215 assert( dpp); assert( Nc ); assert( bc ); |
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216 |
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217 Calculation_of_the_LTP_parameters(d, dp, bc, Nc); |
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218 Long_term_analysis_filtering( *bc, *Nc, dp, d, dpp, e ); |
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219 } |
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220 |
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221 /* 4.3.2 */ |
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222 void Gsm_Long_Term_Synthesis_Filtering ( |
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223 struct gsmfr_0610_state * S, |
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224 |
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225 word Ncr, |
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226 word bcr, |
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227 register word * erp, /* [0..39] IN */ |
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228 register word * drp /* [-120..-1] IN, [-120..40] OUT */ |
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229 ) |
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230 /* |
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231 * This procedure uses the bcr and Ncr parameter to realize the |
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232 * long term synthesis filtering. The decoding of bcr needs |
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233 * table 4.3b. |
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234 */ |
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235 { |
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236 register longword ltmp; /* for ADD */ |
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237 register int k; |
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238 word brp, drpp, Nr; |
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239 |
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240 /* Check the limits of Nr. |
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241 */ |
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242 Nr = Ncr < 40 || Ncr > 120 ? S->nrp : Ncr; |
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243 S->nrp = Nr; |
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244 assert(Nr >= 40 && Nr <= 120); |
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245 |
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246 /* Decoding of the LTP gain bcr |
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247 */ |
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248 brp = gsm_QLB[ bcr ]; |
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249 |
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250 /* Computation of the reconstructed short term residual |
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251 * signal drp[0..39] |
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252 */ |
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253 assert(brp != MIN_WORD); |
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254 |
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255 for (k = 0; k <= 39; k++) { |
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256 drpp = GSM_MULT_R( brp, drp[ k - Nr ] ); |
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257 drp[k] = GSM_ADD( erp[k], drpp ); |
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258 } |
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259 |
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260 /* |
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261 * Update of the reconstructed short term residual signal |
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262 * drp[ -1..-120 ] |
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263 */ |
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264 |
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265 for (k = 0; k <= 119; k++) drp[ -120 + k ] = drp[ -80 + k ]; |
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266 } |