FreeCalypso > hg > efr-experiments
annotate src/pitch_f6.c @ 8:8b17df8f6340 default tip
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author | Mychaela Falconia <falcon@freecalypso.org> |
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date | Wed, 17 Apr 2024 17:30:25 +0000 |
parents | 56410792419a |
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1 /************************************************************************* |
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2 * |
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3 * FUNCTION: Pitch_fr6() |
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4 * |
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5 * PURPOSE: Find the pitch period with 1/6 subsample resolution (closed loop). |
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6 * |
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7 * DESCRIPTION: |
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8 * - find the normalized correlation between the target and filtered |
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9 * past excitation in the search range. |
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10 * - select the delay with maximum normalized correlation. |
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11 * - interpolate the normalized correlation at fractions -3/6 to 3/6 |
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12 * with step 1/6 around the chosen delay. |
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13 * - The fraction which gives the maximum interpolated value is chosen. |
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14 * |
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15 *************************************************************************/ |
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16 |
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17 #include "typedef.h" |
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18 #include "basic_op.h" |
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19 #include "oper_32b.h" |
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20 #include "count.h" |
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21 #include "sig_proc.h" |
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22 #include "codec.h" |
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23 |
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24 /* L_inter = Length for fractional interpolation = nb.coeff/2 */ |
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25 |
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26 #define L_inter 4 |
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27 |
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28 /* Local functions */ |
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29 |
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30 void Norm_Corr (Word16 exc[], Word16 xn[], Word16 h[], Word16 L_subfr, |
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31 Word16 t_min, Word16 t_max, Word16 corr_norm[]); |
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32 |
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33 Word16 Pitch_fr6 ( /* (o) : pitch period. */ |
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34 Word16 exc[], /* (i) : excitation buffer */ |
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35 Word16 xn[], /* (i) : target vector */ |
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36 Word16 h[], /* (i) : impulse response of synthesis and |
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37 weighting filters */ |
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38 Word16 L_subfr, /* (i) : Length of subframe */ |
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39 Word16 t0_min, /* (i) : minimum value in the searched range. */ |
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40 Word16 t0_max, /* (i) : maximum value in the searched range. */ |
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41 Word16 i_subfr, /* (i) : indicator for first subframe. */ |
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42 Word16 *pit_frac /* (o) : chosen fraction. */ |
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43 ) |
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44 { |
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45 Word16 i; |
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46 Word16 t_min, t_max; |
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47 Word16 max, lag, frac; |
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48 Word16 *corr; |
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49 Word16 corr_int; |
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50 Word16 corr_v[40]; /* Total length = t0_max-t0_min+1+2*L_inter */ |
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51 |
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52 /* Find interval to compute normalized correlation */ |
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53 |
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54 t_min = sub (t0_min, L_inter); |
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55 t_max = add (t0_max, L_inter); |
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56 |
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57 corr = &corr_v[-t_min]; move16 (); |
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58 |
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59 /* Compute normalized correlation between target and filtered excitation */ |
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60 |
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61 Norm_Corr (exc, xn, h, L_subfr, t_min, t_max, corr); |
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62 |
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63 /* Find integer pitch */ |
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64 |
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65 max = corr[t0_min]; move16 (); |
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66 lag = t0_min; move16 (); |
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67 |
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68 for (i = t0_min + 1; i <= t0_max; i++) |
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69 { |
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70 test (); |
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71 if (sub (corr[i], max) >= 0) |
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72 { |
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73 max = corr[i]; move16 (); |
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74 lag = i; move16 (); |
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75 } |
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76 } |
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77 |
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78 /* If first subframe and lag > 94 do not search fractional pitch */ |
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79 |
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80 test (); test (); |
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81 if ((i_subfr == 0) && (sub (lag, 94) > 0)) |
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82 { |
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83 *pit_frac = 0; move16 (); |
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84 return (lag); |
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85 } |
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86 /* Test the fractions around T0 and choose the one which maximizes */ |
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87 /* the interpolated normalized correlation. */ |
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88 |
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89 max = Interpol_6 (&corr[lag], -3); |
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90 frac = -3; move16 (); |
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91 |
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92 for (i = -2; i <= 3; i++) |
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93 { |
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94 corr_int = Interpol_6 (&corr[lag], i); move16 (); |
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95 test (); |
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96 if (sub (corr_int, max) > 0) |
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97 { |
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98 max = corr_int; move16 (); |
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99 frac = i; move16 (); |
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100 } |
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101 } |
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102 |
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103 /* Limit the fraction value in the interval [-2,-1,0,1,2,3] */ |
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104 |
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105 test (); |
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106 if (sub (frac, -3) == 0) |
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107 { |
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108 frac = 3; move16 (); |
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109 lag = sub (lag, 1); |
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110 } |
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111 *pit_frac = frac; move16 (); |
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112 |
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113 return (lag); |
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114 } |
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115 |
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116 /************************************************************************* |
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117 * |
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118 * FUNCTION: Norm_Corr() |
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119 * |
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120 * PURPOSE: Find the normalized correlation between the target vector |
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121 * and the filtered past excitation. |
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122 * |
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123 * DESCRIPTION: |
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124 * The normalized correlation is given by the correlation between the |
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125 * target and filtered past excitation divided by the square root of |
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126 * the energy of filtered excitation. |
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127 * corr[k] = <x[], y_k[]>/sqrt(y_k[],y_k[]) |
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128 * where x[] is the target vector and y_k[] is the filtered past |
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129 * excitation at delay k. |
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130 * |
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131 *************************************************************************/ |
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132 |
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133 void |
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134 Norm_Corr (Word16 exc[], Word16 xn[], Word16 h[], Word16 L_subfr, |
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135 Word16 t_min, Word16 t_max, Word16 corr_norm[]) |
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136 { |
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137 Word16 i, j, k; |
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138 Word16 corr_h, corr_l, norm_h, norm_l; |
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139 Word32 s; |
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140 |
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141 /* Usally dynamic allocation of (L_subfr) */ |
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142 Word16 excf[80]; |
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143 Word16 scaling, h_fac, *s_excf, scaled_excf[80]; |
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144 |
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145 k = -t_min; move16 (); |
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146 |
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147 /* compute the filtered excitation for the first delay t_min */ |
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148 |
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149 Convolve (&exc[k], h, excf, L_subfr); |
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150 |
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151 /* scale "excf[]" to avoid overflow */ |
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152 |
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153 for (j = 0; j < L_subfr; j++) |
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154 { |
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155 scaled_excf[j] = shr (excf[j], 2); move16 (); |
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156 } |
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157 |
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158 /* Compute 1/sqrt(energy of excf[]) */ |
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159 |
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160 s = 0; move32 (); |
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161 for (j = 0; j < L_subfr; j++) |
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162 { |
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163 s = L_mac (s, excf[j], excf[j]); |
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164 } |
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165 test (); |
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166 if (L_sub (s, 67108864L) <= 0) /* if (s <= 2^26) */ |
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167 { |
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168 s_excf = excf; move16 (); |
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169 h_fac = 15 - 12; move16 (); |
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170 scaling = 0; move16 (); |
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171 } |
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172 else |
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173 { |
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174 /* "excf[]" is divided by 2 */ |
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175 s_excf = scaled_excf; move16 (); |
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176 h_fac = 15 - 12 - 2; move16 (); |
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177 scaling = 2; move16 (); |
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178 } |
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179 |
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180 /* loop for every possible period */ |
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181 |
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182 for (i = t_min; i <= t_max; i++) |
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183 { |
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184 /* Compute 1/sqrt(energy of excf[]) */ |
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185 |
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186 s = 0; move32 (); |
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187 for (j = 0; j < L_subfr; j++) |
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188 { |
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189 s = L_mac (s, s_excf[j], s_excf[j]); |
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190 } |
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191 |
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192 s = Inv_sqrt (s); move16 (); |
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193 L_Extract (s, &norm_h, &norm_l); |
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194 |
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195 /* Compute correlation between xn[] and excf[] */ |
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196 |
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197 s = 0; move32 (); |
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198 for (j = 0; j < L_subfr; j++) |
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199 { |
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200 s = L_mac (s, xn[j], s_excf[j]); |
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201 } |
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202 L_Extract (s, &corr_h, &corr_l); |
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203 |
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204 /* Normalize correlation = correlation * (1/sqrt(energy)) */ |
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205 |
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206 s = Mpy_32 (corr_h, corr_l, norm_h, norm_l); |
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207 |
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208 corr_norm[i] = extract_h (L_shl (s, 16)); |
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209 move16 (); |
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210 |
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211 /* modify the filtered excitation excf[] for the next iteration */ |
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212 |
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213 test (); |
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214 if (sub (i, t_max) != 0) |
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215 { |
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216 k--; |
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217 for (j = L_subfr - 1; j > 0; j--) |
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218 { |
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219 s = L_mult (exc[k], h[j]); |
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220 s = L_shl (s, h_fac); |
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221 s_excf[j] = add (extract_h (s), s_excf[j - 1]); move16 (); |
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222 } |
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223 s_excf[0] = shr (exc[k], scaling); move16 (); |
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224 } |
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225 } |
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226 return; |
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227 } |