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path: root/libs/libopus/silk/VQ_WMat_EC.c
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Diffstat (limited to 'libs/libopus/silk/VQ_WMat_EC.c')
-rw-r--r--libs/libopus/silk/VQ_WMat_EC.c129
1 files changed, 70 insertions, 59 deletions
diff --git a/libs/libopus/silk/VQ_WMat_EC.c b/libs/libopus/silk/VQ_WMat_EC.c
index 7983f1db8..245a7e4b0 100644
--- a/libs/libopus/silk/VQ_WMat_EC.c
+++ b/libs/libopus/silk/VQ_WMat_EC.c
@@ -34,84 +34,95 @@ POSSIBILITY OF SUCH DAMAGE.
/* Entropy constrained matrix-weighted VQ, hard-coded to 5-element vectors, for a single input data vector */
void silk_VQ_WMat_EC_c(
opus_int8 *ind, /* O index of best codebook vector */
- opus_int32 *rate_dist_Q14, /* O best weighted quant error + mu * rate */
+ opus_int32 *res_nrg_Q15, /* O best residual energy */
+ opus_int32 *rate_dist_Q8, /* O best total bitrate */
opus_int *gain_Q7, /* O sum of absolute LTP coefficients */
- const opus_int16 *in_Q14, /* I input vector to be quantized */
- const opus_int32 *W_Q18, /* I weighting matrix */
+ const opus_int32 *XX_Q17, /* I correlation matrix */
+ const opus_int32 *xX_Q17, /* I correlation vector */
const opus_int8 *cb_Q7, /* I codebook */
const opus_uint8 *cb_gain_Q7, /* I codebook effective gain */
const opus_uint8 *cl_Q5, /* I code length for each codebook vector */
- const opus_int mu_Q9, /* I tradeoff betw. weighted error and rate */
+ const opus_int subfr_len, /* I number of samples per subframe */
const opus_int32 max_gain_Q7, /* I maximum sum of absolute LTP coefficients */
- opus_int L /* I number of vectors in codebook */
+ const opus_int L /* I number of vectors in codebook */
)
{
opus_int k, gain_tmp_Q7;
const opus_int8 *cb_row_Q7;
- opus_int16 diff_Q14[ 5 ];
- opus_int32 sum1_Q14, sum2_Q16;
+ opus_int32 neg_xX_Q24[ 5 ];
+ opus_int32 sum1_Q15, sum2_Q24;
+ opus_int32 bits_res_Q8, bits_tot_Q8;
+
+ /* Negate and convert to new Q domain */
+ neg_xX_Q24[ 0 ] = -silk_LSHIFT32( xX_Q17[ 0 ], 7 );
+ neg_xX_Q24[ 1 ] = -silk_LSHIFT32( xX_Q17[ 1 ], 7 );
+ neg_xX_Q24[ 2 ] = -silk_LSHIFT32( xX_Q17[ 2 ], 7 );
+ neg_xX_Q24[ 3 ] = -silk_LSHIFT32( xX_Q17[ 3 ], 7 );
+ neg_xX_Q24[ 4 ] = -silk_LSHIFT32( xX_Q17[ 4 ], 7 );
/* Loop over codebook */
- *rate_dist_Q14 = silk_int32_MAX;
+ *rate_dist_Q8 = silk_int32_MAX;
+ *res_nrg_Q15 = silk_int32_MAX;
cb_row_Q7 = cb_Q7;
+ /* If things go really bad, at least *ind is set to something safe. */
+ *ind = 0;
for( k = 0; k < L; k++ ) {
+ opus_int32 penalty;
gain_tmp_Q7 = cb_gain_Q7[k];
-
- diff_Q14[ 0 ] = in_Q14[ 0 ] - silk_LSHIFT( cb_row_Q7[ 0 ], 7 );
- diff_Q14[ 1 ] = in_Q14[ 1 ] - silk_LSHIFT( cb_row_Q7[ 1 ], 7 );
- diff_Q14[ 2 ] = in_Q14[ 2 ] - silk_LSHIFT( cb_row_Q7[ 2 ], 7 );
- diff_Q14[ 3 ] = in_Q14[ 3 ] - silk_LSHIFT( cb_row_Q7[ 3 ], 7 );
- diff_Q14[ 4 ] = in_Q14[ 4 ] - silk_LSHIFT( cb_row_Q7[ 4 ], 7 );
-
/* Weighted rate */
- sum1_Q14 = silk_SMULBB( mu_Q9, cl_Q5[ k ] );
+ /* Quantization error: 1 - 2 * xX * cb + cb' * XX * cb */
+ sum1_Q15 = SILK_FIX_CONST( 1.001, 15 );
/* Penalty for too large gain */
- sum1_Q14 = silk_ADD_LSHIFT32( sum1_Q14, silk_max( silk_SUB32( gain_tmp_Q7, max_gain_Q7 ), 0 ), 10 );
-
- silk_assert( sum1_Q14 >= 0 );
-
- /* first row of W_Q18 */
- sum2_Q16 = silk_SMULWB( W_Q18[ 1 ], diff_Q14[ 1 ] );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 2 ], diff_Q14[ 2 ] );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 3 ], diff_Q14[ 3 ] );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 4 ], diff_Q14[ 4 ] );
- sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 0 ], diff_Q14[ 0 ] );
- sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 0 ] );
-
- /* second row of W_Q18 */
- sum2_Q16 = silk_SMULWB( W_Q18[ 7 ], diff_Q14[ 2 ] );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 8 ], diff_Q14[ 3 ] );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 9 ], diff_Q14[ 4 ] );
- sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 6 ], diff_Q14[ 1 ] );
- sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 1 ] );
-
- /* third row of W_Q18 */
- sum2_Q16 = silk_SMULWB( W_Q18[ 13 ], diff_Q14[ 3 ] );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 14 ], diff_Q14[ 4 ] );
- sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 12 ], diff_Q14[ 2 ] );
- sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 2 ] );
-
- /* fourth row of W_Q18 */
- sum2_Q16 = silk_SMULWB( W_Q18[ 19 ], diff_Q14[ 4 ] );
- sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
- sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 18 ], diff_Q14[ 3 ] );
- sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 3 ] );
-
- /* last row of W_Q18 */
- sum2_Q16 = silk_SMULWB( W_Q18[ 24 ], diff_Q14[ 4 ] );
- sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 4 ] );
-
- silk_assert( sum1_Q14 >= 0 );
+ penalty = silk_LSHIFT32( silk_max( silk_SUB32( gain_tmp_Q7, max_gain_Q7 ), 0 ), 11 );
+
+ /* first row of XX_Q17 */
+ sum2_Q24 = silk_MLA( neg_xX_Q24[ 0 ], XX_Q17[ 1 ], cb_row_Q7[ 1 ] );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 2 ], cb_row_Q7[ 2 ] );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 3 ], cb_row_Q7[ 3 ] );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 4 ], cb_row_Q7[ 4 ] );
+ sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 0 ], cb_row_Q7[ 0 ] );
+ sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 0 ] );
+
+ /* second row of XX_Q17 */
+ sum2_Q24 = silk_MLA( neg_xX_Q24[ 1 ], XX_Q17[ 7 ], cb_row_Q7[ 2 ] );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 8 ], cb_row_Q7[ 3 ] );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 9 ], cb_row_Q7[ 4 ] );
+ sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 6 ], cb_row_Q7[ 1 ] );
+ sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 1 ] );
+
+ /* third row of XX_Q17 */
+ sum2_Q24 = silk_MLA( neg_xX_Q24[ 2 ], XX_Q17[ 13 ], cb_row_Q7[ 3 ] );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 14 ], cb_row_Q7[ 4 ] );
+ sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 12 ], cb_row_Q7[ 2 ] );
+ sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 2 ] );
+
+ /* fourth row of XX_Q17 */
+ sum2_Q24 = silk_MLA( neg_xX_Q24[ 3 ], XX_Q17[ 19 ], cb_row_Q7[ 4 ] );
+ sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 18 ], cb_row_Q7[ 3 ] );
+ sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 3 ] );
+
+ /* last row of XX_Q17 */
+ sum2_Q24 = silk_LSHIFT32( neg_xX_Q24[ 4 ], 1 );
+ sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 24 ], cb_row_Q7[ 4 ] );
+ sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 4 ] );
/* find best */
- if( sum1_Q14 < *rate_dist_Q14 ) {
- *rate_dist_Q14 = sum1_Q14;
- *ind = (opus_int8)k;
- *gain_Q7 = gain_tmp_Q7;
+ if( sum1_Q15 >= 0 ) {
+ /* Translate residual energy to bits using high-rate assumption (6 dB ==> 1 bit/sample) */
+ bits_res_Q8 = silk_SMULBB( subfr_len, silk_lin2log( sum1_Q15 + penalty) - (15 << 7) );
+ /* In the following line we reduce the codelength component by half ("-1"); seems to slightly improve quality */
+ bits_tot_Q8 = silk_ADD_LSHIFT32( bits_res_Q8, cl_Q5[ k ], 3-1 );
+ if( bits_tot_Q8 <= *rate_dist_Q8 ) {
+ *rate_dist_Q8 = bits_tot_Q8;
+ *res_nrg_Q15 = sum1_Q15 + penalty;
+ *ind = (opus_int8)k;
+ *gain_Q7 = gain_tmp_Q7;
+ }
}
/* Go to next cbk vector */
generated by cgit v1.2.3 (git 2.26.2) at 2024-11-09 16:30:41 +0000