mirror of https://github.com/AxioDL/amuse.git
712 lines
19 KiB
C++
712 lines
19 KiB
C++
#include "amuse/DSPCodec.hpp"
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#include <algorithm>
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#include <memory.h>
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#if __SWITCH__
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#include "switch_math.hpp"
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#endif
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#undef min
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#undef max
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#pragma mark Decoder
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static const int32_t NibbleToInt[16] = {0,1,2,3,4,5,6,7,-8,-7,-6,-5,-4,-3,-2,-1};
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unsigned DSPDecompressFrame(int16_t* out, const uint8_t* in,
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const int16_t coefs[8][2], int16_t* prev1, int16_t* prev2,
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unsigned lastSample)
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{
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uint8_t cIdx = (in[0]>>4) & 0xf;
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int32_t factor1 = coefs[cIdx][0];
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int32_t factor2 = coefs[cIdx][1];
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uint8_t exp = in[0] & 0xf;
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unsigned ret = 0;
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for (unsigned s=0 ; s<14 && s<lastSample ; ++s)
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{
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int32_t sampleData = (s&1)?
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NibbleToInt[(in[s/2+1])&0xf]:
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NibbleToInt[(in[s/2+1]>>4)&0xf];
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sampleData <<= exp;
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sampleData <<= 11;
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sampleData += 1024;
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sampleData +=
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factor1 * ((int32_t)(*prev1)) +
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factor2 * ((int32_t)(*prev2));
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sampleData >>= 11;
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sampleData = DSPSampClamp(sampleData);
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out[s] = sampleData;
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*prev2 = *prev1;
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*prev1 = sampleData;
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++ret;
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}
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return ret;
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}
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unsigned DSPDecompressFrameStereoStride(int16_t* out, const uint8_t* in,
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const int16_t coefs[8][2], int16_t* prev1, int16_t* prev2,
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unsigned lastSample)
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{
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uint32_t cIdx = (in[0]>>4) & 0xf;
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int32_t factor1 = coefs[cIdx][0];
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int32_t factor2 = coefs[cIdx][1];
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uint32_t exp = in[0] & 0xf;
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unsigned ret = 0;
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for (unsigned s=0 ; s<14 && s<lastSample ; ++s)
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{
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int32_t sampleData = (s&1)?
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NibbleToInt[(in[s/2+1])&0xf]:
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NibbleToInt[(in[s/2+1]>>4)&0xf];
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sampleData <<= exp;
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sampleData <<= 11;
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sampleData += 1024;
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sampleData +=
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factor1 * ((int32_t)(*prev1)) +
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factor2 * ((int32_t)(*prev2));
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sampleData >>= 11;
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sampleData = DSPSampClamp(sampleData);
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out[s*2] = sampleData;
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*prev2 = *prev1;
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*prev1 = sampleData;
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++ret;
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}
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return ret;
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}
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unsigned DSPDecompressFrameStereoDupe(int16_t* out, const uint8_t* in,
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const int16_t coefs[8][2], int16_t* prev1, int16_t* prev2,
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unsigned lastSample)
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{
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uint8_t cIdx = (in[0]>>4) & 0xf;
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int32_t factor1 = coefs[cIdx][0];
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int32_t factor2 = coefs[cIdx][1];
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uint8_t exp = in[0] & 0xf;
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unsigned ret = 0;
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for (unsigned s=0 ; s<14 && s<lastSample ; ++s)
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{
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int32_t sampleData = (s&1)?
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NibbleToInt[(in[s/2+1])&0xf]:
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NibbleToInt[(in[s/2+1]>>4)&0xf];
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sampleData <<= exp;
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sampleData <<= 11;
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sampleData += 1024;
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sampleData +=
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factor1 * ((int32_t)(*prev1)) +
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factor2 * ((int32_t)(*prev2));
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sampleData >>= 11;
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sampleData = DSPSampClamp(sampleData);
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out[s*2] = sampleData;
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out[s*2+1] = sampleData;
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*prev2 = *prev1;
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*prev1 = sampleData;
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++ret;
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}
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return ret;
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}
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unsigned DSPDecompressFrameRanged(int16_t* out, const uint8_t* in,
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const int16_t coefs[8][2], int16_t* prev1, int16_t* prev2,
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unsigned firstSample, unsigned lastSample)
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{
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uint8_t cIdx = (in[0]>>4) & 0xf;
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int32_t factor1 = coefs[cIdx][0];
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int32_t factor2 = coefs[cIdx][1];
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uint8_t exp = in[0] & 0xf;
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unsigned ret = 0;
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for (unsigned s=firstSample ; s<14 && s<lastSample ; ++s)
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{
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int32_t sampleData = (s&1)?
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NibbleToInt[(in[s/2+1])&0xf]:
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NibbleToInt[(in[s/2+1]>>4)&0xf];
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sampleData <<= exp;
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sampleData <<= 11;
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sampleData += 1024;
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sampleData +=
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factor1 * ((int32_t)(*prev1)) +
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factor2 * ((int32_t)(*prev2));
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sampleData >>= 11;
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sampleData = DSPSampClamp(sampleData);
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*out++ = sampleData;
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*prev2 = *prev1;
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*prev1 = sampleData;
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++ret;
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}
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return ret;
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}
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unsigned DSPDecompressFrameStateOnly(const uint8_t* in,
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const int16_t coefs[8][2], int16_t* prev1, int16_t* prev2,
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unsigned lastSample)
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{
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uint8_t cIdx = (in[0]>>4) & 0xf;
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int32_t factor1 = coefs[cIdx][0];
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int32_t factor2 = coefs[cIdx][1];
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uint8_t exp = in[0] & 0xf;
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unsigned ret = 0;
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for (unsigned s=0 ; s<14 && s<lastSample ; ++s)
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{
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int32_t sampleData = (s&1)?
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NibbleToInt[(in[s/2+1])&0xf]:
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NibbleToInt[(in[s/2+1]>>4)&0xf];
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sampleData <<= exp;
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sampleData <<= 11;
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sampleData += 1024;
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sampleData +=
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factor1 * ((int32_t)(*prev1)) +
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factor2 * ((int32_t)(*prev2));
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sampleData >>= 11;
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sampleData = DSPSampClamp(sampleData);
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*prev2 = *prev1;
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*prev1 = sampleData;
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++ret;
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}
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return ret;
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}
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unsigned DSPDecompressFrameRangedStateOnly(const uint8_t* in,
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const int16_t coefs[8][2], int16_t* prev1, int16_t* prev2,
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unsigned firstSample, unsigned lastSample)
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{
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uint8_t cIdx = (in[0]>>4) & 0xf;
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int32_t factor1 = coefs[cIdx][0];
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int32_t factor2 = coefs[cIdx][1];
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uint8_t exp = in[0] & 0xf;
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unsigned ret = 0;
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for (unsigned s=firstSample ; s<14 && s<lastSample ; ++s)
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{
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int32_t sampleData = (s&1)?
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NibbleToInt[(in[s/2+1])&0xf]:
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NibbleToInt[(in[s/2+1]>>4)&0xf];
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sampleData <<= exp;
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sampleData <<= 11;
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sampleData += 1024;
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sampleData +=
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factor1 * ((int32_t)(*prev1)) +
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factor2 * ((int32_t)(*prev2));
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sampleData >>= 11;
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sampleData = DSPSampClamp(sampleData);
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*prev2 = *prev1;
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*prev1 = sampleData;
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++ret;
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}
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return ret;
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}
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#pragma mark Encoder
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/* Reference:
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* https://code.google.com/p/brawltools/source/browse/trunk/BrawlLib/Wii/Audio/AudioConverter.cs
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*/
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/* Temporal Vector
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* A contiguous history of 3 samples starting with
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* 'current' and going 2 backwards
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*/
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typedef double tvec[3];
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static inline void InnerProductMerge(tvec vecOut, short pcmBuf[14])
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{
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for (int i=0 ; i<=2 ; i++)
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{
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vecOut[i] = 0.0f;
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for (int x=0 ; x<14 ; x++)
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vecOut[i] -= pcmBuf[x-i] * pcmBuf[x];
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}
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}
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static inline void OuterProductMerge(tvec mtxOut[3], short pcmBuf[14])
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{
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for (int x=1 ; x<=2 ; x++)
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for (int y=1 ; y<=2 ; y++)
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{
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mtxOut[x][y] = 0.0;
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for (int z=0 ; z<14 ; z++)
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mtxOut[x][y] += pcmBuf[z-x] * pcmBuf[z-y];
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}
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}
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static bool AnalyzeRanges(tvec mtx[3], int* vecIdxsOut)
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{
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double recips[3];
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double val, tmp, min, max;
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/* Get greatest distance from zero */
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for (int x=1 ; x<=2 ; x++)
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{
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val = std::max(fabs(mtx[x][1]), fabs(mtx[x][2]));
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if (val < DBL_EPSILON)
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return true;
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recips[x] = 1.0 / val;
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}
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int maxIndex = 0;
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for (int i=1 ; i<=2 ; i++)
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{
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for (int x=1 ; x<i ; x++)
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{
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tmp = mtx[x][i];
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for (int y=1 ; y<x ; y++)
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tmp -= mtx[x][y] * mtx[y][i];
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mtx[x][i] = tmp;
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}
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val = 0.0;
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for (int x=i ; x<=2 ; x++)
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{
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tmp = mtx[x][i];
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for (int y=1 ; y<i ; y++)
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tmp -= mtx[x][y] * mtx[y][i];
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mtx[x][i] = tmp;
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tmp = fabs(tmp) * recips[x];
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if (tmp >= val)
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{
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val = tmp;
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maxIndex = x;
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}
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}
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if (maxIndex != i)
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{
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for (int y=1 ; y<=2 ; y++)
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{
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tmp = mtx[maxIndex][y];
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mtx[maxIndex][y] = mtx[i][y];
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mtx[i][y] = tmp;
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}
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recips[maxIndex] = recips[i];
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}
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vecIdxsOut[i] = maxIndex;
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if (mtx[i][i] == 0.0)
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return true;
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if (i != 2)
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{
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tmp = 1.0 / mtx[i][i];
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for (int x=i+1 ; x<=2 ; x++)
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mtx[x][i] *= tmp;
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}
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}
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/* Get range */
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min = 1.0e10;
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max = 0.0;
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for (int i=1 ; i<=2 ; i++)
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{
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tmp = fabs(mtx[i][i]);
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if (tmp < min)
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min = tmp;
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if (tmp > max)
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max = tmp;
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}
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if (min / max < 1.0e-10)
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return true;
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return false;
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}
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static void BidirectionalFilter(tvec mtx[3], int* vecIdxs, tvec vecOut)
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{
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double tmp;
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for (int i=1, x=0 ; i<=2 ; i++)
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{
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int index = vecIdxs[i];
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tmp = vecOut[index];
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vecOut[index] = vecOut[i];
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if (x != 0)
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for (int y=x ; y<=i-1 ; y++)
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tmp -= vecOut[y] * mtx[i][y];
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else if (tmp != 0.0)
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x = i;
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vecOut[i] = tmp;
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}
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for (int i=2 ; i>0 ; i--)
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{
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tmp = vecOut[i];
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for (int y=i+1 ; y<=2 ; y++)
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tmp -= vecOut[y] * mtx[i][y];
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vecOut[i] = tmp / mtx[i][i];
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}
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vecOut[0] = 1.0;
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}
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static bool QuadraticMerge(tvec inOutVec)
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{
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double v0, v1, v2 = inOutVec[2];
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double tmp = 1.0 - (v2 * v2);
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if (tmp == 0.0)
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return true;
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v0 = (inOutVec[0] - (v2 * v2)) / tmp;
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v1 = (inOutVec[1] - (inOutVec[1] * v2)) / tmp;
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inOutVec[0] = v0;
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inOutVec[1] = v1;
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return fabs(v1) > 1.0;
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}
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static void FinishRecord(tvec in, tvec out)
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{
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for (int z=1 ; z<=2 ; z++)
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{
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if (in[z] >= 1.0)
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in[z] = 0.9999999999;
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else if (in[z] <= -1.0)
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in[z] = -0.9999999999;
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}
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out[0] = 1.0;
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out[1] = (in[2] * in[1]) + in[1];
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out[2] = in[2];
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}
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static void MatrixFilter(tvec src, tvec dst)
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{
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tvec mtx[3];
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mtx[2][0] = 1.0;
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for (int i=1 ; i<=2 ; i++)
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mtx[2][i] = -src[i];
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for (int i=2 ; i>0 ; i--)
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{
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double val = 1.0 - (mtx[i][i] * mtx[i][i]);
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for (int y = 1; y <= i; y++)
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mtx[i-1][y] = ((mtx[i][i] * mtx[i][y]) + mtx[i][y]) / val;
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}
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dst[0] = 1.0;
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for (int i=1 ; i<=2 ; i++)
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{
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dst[i] = 0.0;
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for (int y=1 ; y<=i ; y++)
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dst[i] += mtx[i][y] * dst[i-y];
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}
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}
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static void MergeFinishRecord(tvec src, tvec dst)
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{
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tvec tmp;
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double val = src[0];
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dst[0] = 1.0;
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for (int i=1 ; i<=2 ; i++)
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{
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double v2 = 0.0;
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for (int y=1 ; y<i ; y++)
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v2 += dst[y] * src[i-y];
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if (val > 0.0)
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dst[i] = -(v2 + src[i]) / val;
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else
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dst[i] = 0.0;
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tmp[i] = dst[i];
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for (int y=1 ; y<i ; y++)
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dst[y] += dst[i] * dst[i - y];
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val *= 1.0 - (dst[i] * dst[i]);
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}
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FinishRecord(tmp, dst);
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}
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static double ContrastVectors(tvec source1, tvec source2)
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{
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double val = (-source2[2] * -source2[1] + -source2[1]) / (1.0 - source2[2] * source2[2]);
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double val1 = (source1[0] * source1[0]) + (source1[1] * source1[1]) + (source1[2] * source1[2]);
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double val2 = (source1[0] * source1[1]) + (source1[1] * source1[2]);
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double val3 = source1[0] * source1[2];
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return val1 + (2.0 * val * val2) + (2.0 * (-source2[1] * val + -source2[2]) * val3);
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}
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static void FilterRecords(tvec vecBest[8], int exp, tvec records[], int recordCount)
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{
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tvec bufferList[8];
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int buffer1[8];
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tvec buffer2;
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int index;
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double value, tempVal = 0;
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for (int x=0 ; x<2 ; x++)
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{
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for (int y=0 ; y<exp ; y++)
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{
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buffer1[y] = 0;
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for (int i=0 ; i<=2 ; i++)
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bufferList[y][i] = 0.0;
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}
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for (int z=0 ; z<recordCount ; z++)
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{
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index = 0;
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value= 1.0e30;
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for (int i=0 ; i<exp ; i++)
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{
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tempVal = ContrastVectors(vecBest[i], records[z]);
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if (tempVal < value)
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{
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value = tempVal;
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index = i;
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}
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}
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buffer1[index]++;
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MatrixFilter(records[z], buffer2);
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for (int i=0 ; i<=2 ; i++)
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bufferList[index][i] += buffer2[i];
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}
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for (int i=0 ; i<exp ; i++)
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if (buffer1[i] > 0)
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for (int y=0 ; y<=2 ; y++)
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bufferList[i][y] /= buffer1[i];
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for (int i=0 ; i<exp ; i++)
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MergeFinishRecord(bufferList[i], vecBest[i]);
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}
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}
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void DSPCorrelateCoefs(const short* source, int samples, short coefsOut[8][2])
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{
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int numFrames = (samples + 13) / 14;
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int frameSamples;
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short* blockBuffer = (short*)calloc(sizeof(short), 0x3800);
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short pcmHistBuffer[2][14] = {};
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tvec vec1;
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tvec vec2;
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tvec mtx[3];
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int vecIdxs[3];
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tvec* records = (tvec*)calloc(sizeof(tvec), numFrames * 2);
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int recordCount = 0;
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tvec vecBest[8];
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/* Iterate though 1024-block frames */
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for (int x=samples ; x>0 ;)
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{
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if (x > 0x3800) /* Full 1024-block frame */
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{
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frameSamples = 0x3800;
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x -= 0x3800;
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}
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else /* Partial frame */
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{
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/* Zero lingering block samples */
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frameSamples = x;
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for (int z=0 ; z<14 && z+frameSamples<0x3800 ; z++)
|
|
blockBuffer[frameSamples+z] = 0;
|
|
x = 0;
|
|
}
|
|
|
|
/* Copy (potentially non-frame-aligned PCM samples into aligned buffer) */
|
|
memcpy(blockBuffer, source, frameSamples * sizeof(short));
|
|
source += frameSamples;
|
|
|
|
|
|
for (int i=0 ; i<frameSamples ;)
|
|
{
|
|
for (int z=0 ; z<14 ; z++)
|
|
pcmHistBuffer[0][z] = pcmHistBuffer[1][z];
|
|
for (int z=0 ; z<14 ; z++)
|
|
pcmHistBuffer[1][z] = blockBuffer[i++];
|
|
|
|
InnerProductMerge(vec1, pcmHistBuffer[1]);
|
|
if (fabs(vec1[0]) > 10.0)
|
|
{
|
|
OuterProductMerge(mtx, pcmHistBuffer[1]);
|
|
if (!AnalyzeRanges(mtx, vecIdxs))
|
|
{
|
|
BidirectionalFilter(mtx, vecIdxs, vec1);
|
|
if (!QuadraticMerge(vec1))
|
|
{
|
|
FinishRecord(vec1, records[recordCount]);
|
|
recordCount++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
vec1[0] = 1.0;
|
|
vec1[1] = 0.0;
|
|
vec1[2] = 0.0;
|
|
|
|
for (int z=0 ; z<recordCount ; z++)
|
|
{
|
|
MatrixFilter(records[z], vecBest[0]);
|
|
for (int y=1 ; y<=2 ; y++)
|
|
vec1[y] += vecBest[0][y];
|
|
}
|
|
for (int y=1 ; y<=2 ; y++)
|
|
vec1[y] /= recordCount;
|
|
|
|
MergeFinishRecord(vec1, vecBest[0]);
|
|
|
|
|
|
int exp = 1;
|
|
for (int w=0 ; w<3 ;)
|
|
{
|
|
vec2[0] = 0.0;
|
|
vec2[1] = -1.0;
|
|
vec2[2] = 0.0;
|
|
for (int i=0 ; i<exp ; i++)
|
|
for (int y=0 ; y<=2 ; y++)
|
|
vecBest[exp+i][y] = (0.01 * vec2[y]) + vecBest[i][y];
|
|
++w;
|
|
exp = 1 << w;
|
|
FilterRecords(vecBest, exp, records, recordCount);
|
|
}
|
|
|
|
/* Write output */
|
|
for (int z=0 ; z<8 ; z++)
|
|
{
|
|
double d;
|
|
d = -vecBest[z][1] * 2048.0;
|
|
if (d > 0.0)
|
|
coefsOut[z][0] = (d > 32767.0) ? (short)32767 : (short)lround(d);
|
|
else
|
|
coefsOut[z][0] = (d < -32768.0) ? (short)-32768 : (short)lround(d);
|
|
|
|
d = -vecBest[z][2] * 2048.0;
|
|
if (d > 0.0)
|
|
coefsOut[z][1] = (d > 32767.0) ? (short)32767 : (short)lround(d);
|
|
else
|
|
coefsOut[z][1] = (d < -32768.0) ? (short)-32768 : (short)lround(d);
|
|
}
|
|
|
|
/* Free memory */
|
|
free(records);
|
|
free(blockBuffer);
|
|
|
|
}
|
|
|
|
/* Make sure source includes the yn values (16 samples total) */
|
|
void DSPEncodeFrame(short pcmInOut[16], int sampleCount, unsigned char adpcmOut[8], const short coefsIn[8][2])
|
|
{
|
|
int inSamples[8][16];
|
|
int outSamples[8][14];
|
|
|
|
int bestIndex = 0;
|
|
|
|
int scale[8];
|
|
double distAccum[8];
|
|
|
|
/* Iterate through each coef set, finding the set with the smallest error */
|
|
for (int i=0 ; i<8 ; i++)
|
|
{
|
|
int v1, v2, v3;
|
|
int distance, index;
|
|
|
|
/* Set yn values */
|
|
inSamples[i][0] = pcmInOut[0];
|
|
inSamples[i][1] = pcmInOut[1];
|
|
|
|
/* Round and clamp samples for this coef set */
|
|
distance = 0;
|
|
for (int s=0 ; s<sampleCount ; s++)
|
|
{
|
|
/* Multiply previous samples by coefs */
|
|
inSamples[i][s + 2] = v1 = ((pcmInOut[s] * coefsIn[i][1]) + (pcmInOut[s + 1] * coefsIn[i][0])) / 2048;
|
|
/* Subtract from current sample */
|
|
v2 = pcmInOut[s + 2] - v1;
|
|
/* Clamp */
|
|
v3 = (v2 >= 32767) ? 32767 : (v2 <= -32768) ? -32768 : v2;
|
|
/* Compare distance */
|
|
if (abs(v3) > abs(distance))
|
|
distance = v3;
|
|
}
|
|
|
|
/* Set initial scale */
|
|
for (scale[i]=0; (scale[i]<=12) && ((distance>7) || (distance<-8)); scale[i]++, distance/=2) {}
|
|
scale[i] = (scale[i] <= 1) ? -1 : scale[i] - 2;
|
|
|
|
do
|
|
{
|
|
scale[i]++;
|
|
distAccum[i] = 0;
|
|
index = 0;
|
|
|
|
for (int s=0 ; s<sampleCount ; s++)
|
|
{
|
|
/* Multiply previous */
|
|
v1 = ((inSamples[i][s] * coefsIn[i][1]) + (inSamples[i][s + 1] * coefsIn[i][0]));
|
|
/* Evaluate from real sample */
|
|
v2 = ((pcmInOut[s + 2] << 11) - v1) / 2048;
|
|
/* Round to nearest sample */
|
|
v3 = (v2 > 0) ? (int)((double)v2 / (1 << scale[i]) + 0.4999999f) : (int)((double)v2 / (1 << scale[i]) - 0.4999999f);
|
|
|
|
/* Clamp sample and set index */
|
|
if (v3 < -8)
|
|
{
|
|
if (index < (v3 = -8 - v3))
|
|
index = v3;
|
|
v3 = -8;
|
|
}
|
|
else if (v3 > 7)
|
|
{
|
|
if (index < (v3 -= 7))
|
|
index = v3;
|
|
v3 = 7;
|
|
}
|
|
|
|
/* Store result */
|
|
outSamples[i][s] = v3;
|
|
|
|
/* Round and expand */
|
|
v1 = (v1 + ((v3 * (1 << scale[i])) << 11) + 1024) >> 11;
|
|
/* Clamp and store */
|
|
inSamples[i][s + 2] = v2 = (v1 >= 32767) ? 32767 : (v1 <= -32768) ? -32768 : v1;
|
|
/* Accumulate distance */
|
|
v3 = pcmInOut[s + 2] - v2;
|
|
distAccum[i] += v3 * (double)v3;
|
|
}
|
|
|
|
for (int x=index+8 ; x>256 ; x>>=1)
|
|
if (++scale[i] >= 12)
|
|
scale[i] = 11;
|
|
|
|
} while ((scale[i] < 12) && (index > 1));
|
|
}
|
|
|
|
double min = DBL_MAX;
|
|
for (int i = 0; i < 8; i++)
|
|
{
|
|
if (distAccum[i] < min)
|
|
{
|
|
min = distAccum[i];
|
|
bestIndex = i;
|
|
}
|
|
}
|
|
|
|
/* Write converted samples */
|
|
for (int s=0 ; s<sampleCount ; s++)
|
|
pcmInOut[s + 2] = inSamples[bestIndex][s + 2];
|
|
|
|
/* Write ps */
|
|
adpcmOut[0] = (char)((bestIndex << 4) | (scale[bestIndex] & 0xF));
|
|
|
|
/* Zero remaining samples */
|
|
for (int s=sampleCount ; s<14 ; s++)
|
|
outSamples[bestIndex][s] = 0;
|
|
|
|
/* Write output samples */
|
|
for (int y=0; y<7; y++)
|
|
{
|
|
adpcmOut[y + 1] = (char)((outSamples[bestIndex][y * 2] << 4) | (outSamples[bestIndex][y * 2 + 1] & 0xF));
|
|
}
|
|
}
|