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NLSF VQ now uses absolute error, and prediction

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Koen Vos 2016-02-21 13:31:19 +08:00 • committed by Jean-Marc Valin
parent 2955f68b14
commit aa7e174891
4 changed files with 28 additions and 19 deletions
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40
silk/NLSF_VQ.c
View file

@ -33,36 +33,44 @@ POSSIBILITY OF SUCH DAMAGE.
/* Compute quantization errors for an LPC_order element input vector for a VQ codebook */
void silk_NLSF_VQ(
opus_int32 err_Q26[], /* O Quantization errors [K] */
opus_int32 err_Q24[], /* O Quantization errors [K] */
const opus_int16 in_Q15[], /* I Input vectors to be quantized [LPC_order] */
const opus_uint8 pCB_Q8[], /* I Codebook vectors [K*LPC_order] */
const opus_int16 pWght_Q9[], /* I Codebook weights [K*LPC_order] */
const opus_int K, /* I Number of codebook vectors */
const opus_int LPC_order /* I Number of LPCs */
)
{
opus_int i, m;
opus_int32 diff_Q15, sum_error_Q30, sum_error_Q26;
opus_int32 diff_Q15, diffw_Q24, sum_error_Q24, pred_Q24;
const opus_int16 *w_Q9_ptr;
const opus_uint8 *cb_Q8_ptr;
silk_assert( LPC_order <= 16 );
silk_assert( ( LPC_order & 1 ) == 0 );
/* Loop over codebook */
cb_Q8_ptr = pCB_Q8;
w_Q9_ptr = pWght_Q9;
for( i = 0; i < K; i++ ) {
sum_error_Q26 = 0;
for( m = 0; m < LPC_order; m += 2 ) {
/* Compute weighted squared quantization error for index m */
diff_Q15 = silk_SUB_LSHIFT32( in_Q15[ m ], (opus_int32)*pCB_Q8++, 7 ); /* range: [ -32767 : 32767 ]*/
sum_error_Q30 = silk_SMULBB( diff_Q15, diff_Q15 );
sum_error_Q24 = 0;
pred_Q24 = 0;
for( m = LPC_order-2; m >= 0; m -= 2 ) {
/* Compute weighted absolute predictive quantization error for index m + 1 */
diff_Q15 = silk_SUB_LSHIFT32( in_Q15[ m + 1 ], (opus_int32)cb_Q8_ptr[ m + 1 ], 7 ); /* range: [ -32767 : 32767 ]*/
diffw_Q24 = silk_SMULBB( diff_Q15, w_Q9_ptr[ m + 1 ] );
sum_error_Q24 = silk_ADD32( sum_error_Q24, silk_abs( silk_SUB_RSHIFT32( diffw_Q24, pred_Q24, 1 ) ) );
pred_Q24 = diffw_Q24;
/* Compute weighted squared quantization error for index m + 1 */
diff_Q15 = silk_SUB_LSHIFT32( in_Q15[m + 1], (opus_int32)*pCB_Q8++, 7 ); /* range: [ -32767 : 32767 ]*/
sum_error_Q30 = silk_SMLABB( sum_error_Q30, diff_Q15, diff_Q15 );
/* Compute weighted absolute predictive quantization error for index m */
diff_Q15 = silk_SUB_LSHIFT32( in_Q15[ m ], (opus_int32)cb_Q8_ptr[ m ], 7 ); /* range: [ -32767 : 32767 ]*/
diffw_Q24 = silk_SMULBB( diff_Q15, w_Q9_ptr[ m ] );
sum_error_Q24 = silk_ADD32( sum_error_Q24, silk_abs( silk_SUB_RSHIFT32( diffw_Q24, pred_Q24, 1 ) ) );
pred_Q24 = diffw_Q24;
sum_error_Q26 = silk_ADD_RSHIFT32( sum_error_Q26, sum_error_Q30, 4 );
silk_assert( sum_error_Q26 >= 0 );
silk_assert( sum_error_Q30 >= 0 );
silk_assert( sum_error_Q24 >= 0 );
}
err_Q26[ i ] = sum_error_Q26;
err_Q24[ i ] = sum_error_Q24;
cb_Q8_ptr += LPC_order;
w_Q9_ptr += LPC_order;
}
}

2
silk/NLSF_encode.c
View file

@ -70,7 +70,7 @@ opus_int32 silk_NLSF_encode( /* O Returns
/* First stage: VQ */
ALLOC( err_Q26, psNLSF_CB->nVectors, opus_int32 );
silk_NLSF_VQ( err_Q26, pNLSF_Q15, psNLSF_CB->CB1_NLSF_Q8, psNLSF_CB->nVectors, psNLSF_CB->order );
silk_NLSF_VQ( err_Q26, pNLSF_Q15, psNLSF_CB->CB1_NLSF_Q8, psNLSF_CB->CB1_Wght_Q9, psNLSF_CB->nVectors, psNLSF_CB->order );
/* Sort the quantization errors */
ALLOC( tempIndices1, nSurvivors, opus_int );

1
silk/main.h
View file

@ -346,6 +346,7 @@ void silk_NLSF_VQ(
opus_int32 err_Q26[], /* O Quantization errors [K] */
const opus_int16 in_Q15[], /* I Input vectors to be quantized [LPC_order] */
const opus_uint8 pCB_Q8[], /* I Codebook vectors [K*LPC_order] */
const opus_int16 pWght_Q9[], /* I Codebook weights [K*LPC_order] */
const opus_int K, /* I Number of codebook vectors */
const opus_int LPC_order /* I Number of LPCs */
);