[16] | 1 | /******************************************************************** |
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| 2 | * * |
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| 3 | * THIS FILE IS PART OF THE OggVorbis SOFTWARE CODEC SOURCE CODE. * |
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| 4 | * USE, DISTRIBUTION AND REPRODUCTION OF THIS LIBRARY SOURCE IS * |
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| 5 | * GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE * |
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| 6 | * IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. * |
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| 7 | * * |
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| 8 | * THE OggVorbis SOURCE CODE IS (C) COPYRIGHT 1994-2001 * |
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| 9 | * by the Xiph.Org Foundation http://www.xiph.org/ * |
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| 10 | * * |
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| 11 | ******************************************************************** |
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| 12 | |
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| 13 | function: metrics and quantization code for LSP VQ codebooks |
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| 14 | last mod: $Id: lspdata.c 13293 2007-07-24 00:09:47Z xiphmont $ |
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| 15 | |
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| 16 | ********************************************************************/ |
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| 17 | |
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| 18 | #include <stdlib.h> |
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| 19 | #include <math.h> |
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| 20 | #include <stdio.h> |
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| 21 | #include "vqgen.h" |
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| 22 | #include "vqext.h" |
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| 23 | #include "codebook.h" |
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| 24 | |
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| 25 | char *vqext_booktype="LSPdata"; |
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| 26 | quant_meta q={0,0,0,1}; /* set sequence data */ |
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| 27 | int vqext_aux=1; |
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| 28 | |
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| 29 | float global_maxdel=M_PI; |
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| 30 | float global_mindel=M_PI; |
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| 31 | #if 0 |
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| 32 | void vqext_quantize(vqgen *v,quant_meta *q){ |
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| 33 | float delta,mindel; |
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| 34 | float maxquant=((1<<q->quant)-1); |
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| 35 | int j,k; |
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| 36 | |
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| 37 | /* first find the basic delta amount from the maximum span to be |
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| 38 | encoded. Loosen the delta slightly to allow for additional error |
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| 39 | during sequence quantization */ |
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| 40 | |
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| 41 | delta=(global_maxdel-global_mindel)/((1<<q->quant)-1.5f); |
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| 42 | |
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| 43 | q->min=_float32_pack(global_mindel); |
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| 44 | q->delta=_float32_pack(delta); |
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| 45 | |
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| 46 | mindel=_float32_unpack(q->min); |
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| 47 | delta=_float32_unpack(q->delta); |
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| 48 | |
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| 49 | for(j=0;j<v->entries;j++){ |
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| 50 | float last=0; |
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| 51 | for(k=0;k<v->elements;k++){ |
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| 52 | float val=_now(v,j)[k]; |
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| 53 | float now=rint((val-last-mindel)/delta); |
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| 54 | |
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| 55 | _now(v,j)[k]=now; |
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| 56 | if(now<0){ |
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| 57 | /* be paranoid; this should be impossible */ |
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| 58 | fprintf(stderr,"fault; quantized value<0\n"); |
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| 59 | exit(1); |
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| 60 | } |
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| 61 | |
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| 62 | if(now>maxquant){ |
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| 63 | /* be paranoid; this should be impossible */ |
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| 64 | fprintf(stderr,"fault; quantized value>max\n"); |
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| 65 | exit(1); |
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| 66 | } |
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| 67 | last=(now*delta)+mindel+last; |
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| 68 | } |
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| 69 | } |
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| 70 | |
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| 71 | } |
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| 72 | #else |
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| 73 | void vqext_quantize(vqgen *v,quant_meta *q){ |
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| 74 | vqgen_quantize(v,q); |
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| 75 | } |
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| 76 | #endif |
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| 77 | |
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| 78 | float *weight=NULL; |
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| 79 | #if 0 |
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| 80 | /* LSP training metric. We weight error proportional to distance |
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| 81 | *between* LSP vector values. The idea of this metric is not to set |
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| 82 | final cells, but get the midpoint spacing into a form conducive to |
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| 83 | what we want, which is weighting toward preserving narrower |
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| 84 | features. */ |
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| 85 | |
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| 86 | #define FUDGE (global_maxdel-weight[i]) |
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| 87 | |
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| 88 | float *vqext_weight(vqgen *v,float *p){ |
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| 89 | int i; |
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| 90 | int el=v->elements; |
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| 91 | float lastp=0.f; |
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| 92 | for(i=0;i<el;i++){ |
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| 93 | float predist=(p[i]-lastp); |
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| 94 | float postdist=(p[i+1]-p[i]); |
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| 95 | weight[i]=(predist<postdist?predist:postdist); |
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| 96 | lastp=p[i]; |
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| 97 | } |
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| 98 | return p; |
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| 99 | } |
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| 100 | #else |
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| 101 | #define FUDGE 1.f |
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| 102 | float *vqext_weight(vqgen *v,float *p){ |
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| 103 | return p; |
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| 104 | } |
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| 105 | #endif |
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| 106 | |
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| 107 | /* candidate,actual */ |
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| 108 | float vqext_metric(vqgen *v,float *e, float *p){ |
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| 109 | int i; |
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| 110 | int el=v->elements; |
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| 111 | float acc=0.f; |
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| 112 | for(i=0;i<el;i++){ |
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| 113 | float val=(p[i]-e[i])*FUDGE; |
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| 114 | acc+=val*val; |
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| 115 | } |
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| 116 | return sqrt(acc/v->elements); |
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| 117 | } |
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| 118 | |
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| 119 | /* Data files are line-vectors, now just deltas. The codebook entries |
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| 120 | want to be monotonically increasing, so we adjust */ |
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| 121 | |
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| 122 | /* assume vqext_aux==1 */ |
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| 123 | void vqext_addpoint_adj(vqgen *v,float *b,int start,int dim,int cols,int num){ |
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| 124 | float *a=alloca(sizeof(float)*(dim+1)); /* +aux */ |
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| 125 | float base=0; |
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| 126 | int i; |
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| 127 | |
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| 128 | for(i=0;i<dim;i++) |
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| 129 | base=a[i]=b[i+start]+base; |
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| 130 | |
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| 131 | if(start+dim+1>cols) /* +aux */ |
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| 132 | a[i]=M_PI; |
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| 133 | else |
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| 134 | a[i]=b[i+start]+base; |
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| 135 | |
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| 136 | vqgen_addpoint(v,a,a+dim); |
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| 137 | } |
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| 138 | |
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| 139 | /* we just need to calc the global_maxdel from the training set */ |
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| 140 | void vqext_preprocess(vqgen *v){ |
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| 141 | long j,k; |
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| 142 | |
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| 143 | global_maxdel=0.f; |
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| 144 | global_mindel=M_PI; |
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| 145 | for(j=0;j<v->points;j++){ |
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| 146 | float last=0.; |
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| 147 | for(k=0;k<v->elements+v->aux;k++){ |
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| 148 | float p=_point(v,j)[k]; |
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| 149 | if(p-last>global_maxdel)global_maxdel=p-last; |
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| 150 | if(p-last<global_mindel)global_mindel=p-last; |
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| 151 | last=p; |
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| 152 | } |
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| 153 | } |
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| 154 | |
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| 155 | weight=_ogg_malloc(sizeof(float)*v->elements); |
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| 156 | } |
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| 157 | |
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