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📄 enhancer.cxx

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//A.16 enhancer.c        /******************************************************************            iLBC Speech Coder ANSI-C Source Code            enhancer.c             Copyright (c) 2001,        Global IP Sound AB.        All rights reserved.        ******************************************************************/        #include <math.h>    #include <string.h>    #include"iLBC_define.h"    #include"constants.h"    #include"filter.h"        /*----------------------------------------------------------------*     * Find index in array such that the array element with said     * index is the element of said array closest to "value"      * according to the squared-error criterion     *---------------------------------------------------------------*/        void NearestNeighbor(        int   *index,   /* (o) index of array element closest to value */        float *array,   /* (i) data array */        float value,/* (i) value */        int arlength/* (i) dimension of data array */    ){             int i;        float bestcrit,crit;            crit=array[0]-value;        bestcrit=crit*crit;        *index=0;        for(i=1;i<arlength;i++){            crit=array[i]-value;            crit=crit*crit;                        if(crit<bestcrit){                bestcrit=crit;                *index=i;            }        }    }        /*----------------------------------------------------------------*     * compute cross correlation between sequences     *---------------------------------------------------------------*/        void mycorr1(         float* corr,    /* (o) correlation of seq1 and seq2 */        float* seq1,    /* (i) first sequence */        int dim1,           /* (i) dimension first seq1 */        const float *seq2,  /* (i) second sequence */        int dim2        /* (i) dimension seq2 */    ){        int i,j;            for(i=0;i<=dim1-dim2; i++){            corr[i]=0.0;            for(j=0;j<dim2; j++){                corr[i] += seq1[i+j] * seq2[j];            }        }    }        /*----------------------------------------------------------------*     * upsample finite array assuming zeros outside bounds     *---------------------------------------------------------------*/        void enh_upsample(         float* useq1,   /* (o) upsampled output sequence */        float* seq1,/* (i) unupsampled sequence */        int dim1,       /* (i) dimension seq1 */        int hfl         /* (i) polyphase filter length=2*hfl+1 */    ){        float *pu,*ps;        int i,j,k,q,filterlength,hfl2;        const float *polyp[ENH_UPS0]; /* pointers to polyphase columns */        const float *pp;                 /* define pointers for filter */            filterlength=2*hfl+1;                if( filterlength > dim1){            hfl2=(int) (dim1/2);            for(j=0;j<ENH_UPS0; j++) {                polyp[j]=polyphaserTbl+j*filterlength+hfl-hfl2;            }            hfl=hfl2;            filterlength=2*hfl+1;        }        else {            for(j=0;j<ENH_UPS0; j++) {                polyp[j]=polyphaserTbl+j*filterlength;            }        }            /* filtering: filter overhangs left side of sequence */            pu=useq1;        for(i=hfl;i<filterlength; i++){             for(j=0;j<ENH_UPS0; j++){                *pu=0.0;                pp = polyp[j];                ps = seq1+i;                for(k=0;k<=i;k++) {                    *pu += *ps-- * *pp++;                }                pu++;            }        }            /* filtering: simple convolution=inner products */            for(i=filterlength; i<dim1; i++){            for(j=0;j<ENH_UPS0; j++){                *pu=0.0;                pp = polyp[j];                ps = seq1+i;                for(k=0;k<filterlength;k++) {                    *pu += *ps-- * *pp++;                }                pu++;            }        }            /* filtering: filter overhangs right side of sequence */            for(q=1; q<=hfl;q++){             for(j=0;j<ENH_UPS0; j++){                *pu=0.0;                pp = polyp[j]+q;                     ps = seq1+dim1-1;                for(k=0;k<filterlength-q;k++) {                    *pu += *ps-- * *pp++;                }                pu++;            }        }    }            /*----------------------------------------------------------------*     * find segment starting near idata+estSegPos that has highest      * correlation with idata+centerStartPos through      * idata+centerStartPos+ENH_BLOCKL-1 segment is found at a      * resolution of ENH_UPSO times the original of the original      * sampling rate     *---------------------------------------------------------------*/        void refiner(        float *seg,         /* (o) segment array */        float *updStartPos, /* (o) updated start point */        float* idata,       /* (i) original data buffer */        int idatal,         /* (i) dimension of idata */        int centerStartPos, /* (i) beginning center segment */        float estSegPos,/* (i) estimated beginning other segment */        float period    /* (i) estimated pitch period */    ){        int estSegPosRounded,searchSegStartPos,searchSegEndPos,corrdim;        int tloc,tloc2,i,st,en,fraction;        float vect[ENH_VECTL],corrVec[ENH_CORRDIM],maxv;        float corrVecUps[ENH_CORRDIM*ENH_UPS0];            /* defining array bounds */                estSegPosRounded=(int)(estSegPos - 0.5);            searchSegStartPos=estSegPosRounded-ENH_SLOP;                if (searchSegStartPos<0) {             searchSegStartPos=0;        }        searchSegEndPos=estSegPosRounded+ENH_SLOP;                if(searchSegEndPos+ENH_BLOCKL >= idatal) {             searchSegEndPos=idatal-ENH_BLOCKL-1;        }        corrdim=searchSegEndPos-searchSegStartPos+1;                /* compute upsampled correlation (corr33) and find            location of max */            mycorr1(corrVec,idata+searchSegStartPos,            corrdim+ENH_BLOCKL-1,idata+centerStartPos,ENH_BLOCKL);             enh_upsample(corrVecUps,corrVec,corrdim,ENH_FL0);        tloc=0; maxv=corrVecUps[0];        for(i=1;i<ENH_UPS0*corrdim; i++){                        if(corrVecUps[i]>maxv){                tloc=i;                maxv=corrVecUps[i];            }        }                /* make vector can be upsampled without ever running outside            bounds */                *updStartPos= (float)searchSegStartPos +             (float)tloc/(float)ENH_UPS0+(float)1.0;        tloc2=(int)(tloc/ENH_UPS0);                if (tloc>tloc2*ENH_UPS0) {            tloc2++;        }        st=searchSegStartPos+tloc2-ENH_FL0;                if(st<0){            memset(vect,0,-st*sizeof(float));            memcpy(&vect[-st],idata, (ENH_VECTL+st)*sizeof(float));        }        else{            en=st+ENH_VECTL;                        if(en>idatal){                memcpy(vect, &idata[st],                     (ENH_VECTL-(en-idatal))*sizeof(float));                memset(&vect[ENH_VECTL-(en-idatal)], 0,                     (en-idatal)*sizeof(float));            }            else {                memcpy(vect, &idata[st], ENH_VECTL*sizeof(float));            }        }        fraction=tloc2*ENH_UPS0-tloc;                /* compute the segment (this is actually a convolution) */            mycorr1(seg,vect,ENH_VECTL,polyphaserTbl+(2*ENH_FL0+1)*fraction,            2*ENH_FL0+1);    }        /*----------------------------------------------------------------*     * find the smoothed output data     *---------------------------------------------------------------*/        void smath(        float *odata,   /* (o) smoothed output */             float *sseq,/* (i) said second sequence of waveforms */        int hl,         /* (i) 2*hl+1 is sseq dimension */        float alpha0/* (i) max smoothing energy fraction */    ){        int i,k;        float w00,w10,w11,A,B,C,*psseq,err,errs;        float surround[BLOCKL_MAX]; /* shape contributed by other than                                    current */        float wt[2*ENH_HL+1]; /* waveform weighting to get surround                                  shape */        float denom;                /* create shape of contribution from all waveforms except the           current one */            for(i=1;i<=2*hl+1; i++) {            wt[i-1] = (float)0.5*(1 - (float)cos(2*PI*i/(2*hl+2)));         }        wt[hl]=0.0; /* for clarity, not used */        for(i=0;i<ENH_BLOCKL; i++) {            surround[i]=sseq[i]*wt[0];        }        for(k=1;k<hl; k++){            psseq=sseq+k*ENH_BLOCKL;            for(i=0;i<ENH_BLOCKL; i++) {                surround[i]+=psseq[i]*wt[k];            }        }        for(k=hl+1;k<=2*hl; k++){            psseq=sseq+k*ENH_BLOCKL;            for(i=0;i<ENH_BLOCKL; i++) {                surround[i]+=psseq[i]*wt[k];            }        }                /* compute some inner products */            w00 = w10 = w11 = 0.0;        psseq=sseq+hl*ENH_BLOCKL; /* current block  */        for(i=0;i<ENH_BLOCKL;i++) {            w00+=psseq[i]*psseq[i];            w11+=surround[i]*surround[i];            w10+=surround[i]*psseq[i];        }                if( fabs(w11) < 1.0) {            w11=1.0;        }        C = (float)sqrt( w00/w11);                /* first try enhancement without power-constraint */            errs=0.0;             psseq=sseq+hl*ENH_BLOCKL;        for(i=0;i<ENH_BLOCKL;i++) { 

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