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📄 enhancer.c

📁 视频监控vc源代码.对于做视频系统的朋友们很有帮助
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/******************************************************************    iLBC Speech Coder ANSI-C Source Code    enhancer.c     Copyright (C) The Internet Society (2004).     All Rights Reserved.******************************************************************/#include <math.h>#include <string.h>#include "iLBC_define.h"#include "enhancer.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 *---------------------------------------------------------------*/static 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 *---------------------------------------------------------------*/static 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 *---------------------------------------------------------------*/static 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 *---------------------------------------------------------------*/static 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 *---------------------------------------------------------------*/static 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++) {        odata[i]=C*surround[i];        err=psseq[i]-odata[i];        errs+=err*err;    }        /* if constraint violated by first try, add constraint */         if (errs > alpha0 * w00) {        if ( w00 < 1) {            w00=1;        }        denom = (w11*w00-w10*w10)/(w00*w00);                if (denom > 0.0001) { /* eliminates numerical problems                                  for if smooth */            A = (float)sqrt( (alpha0- alpha0*alpha0/4)/denom);            B = -alpha0/2 - A * w10/w00;            B = B+1;        }        else { /* essentially no difference between cycles;                   smoothing not needed */

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