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| 1 /* | 1 /* |
| 2 * Copyright (C) 2012 Google Inc. All rights reserved. | 2 * Copyright (C) 2012 Google Inc. All rights reserved. |
| 3 * | 3 * |
| 4 * Redistribution and use in source and binary forms, with or without | 4 * Redistribution and use in source and binary forms, with or without |
| 5 * modification, are permitted provided that the following conditions | 5 * modification, are permitted provided that the following conditions |
| 6 * are met: | 6 * are met: |
| 7 * | 7 * |
| 8 * 1. Redistributions of source code must retain the above copyright | 8 * 1. Redistributions of source code must retain the above copyright |
| 9 * notice, this list of conditions and the following disclaimer. | 9 * notice, this list of conditions and the following disclaimer. |
| 10 * 2. Redistributions in binary form must reproduce the above copyright | 10 * 2. Redistributions in binary form must reproduce the above copyright |
| (...skipping 23 matching lines...) Expand all Loading... |
| 34 #include "modules/webaudio/PeriodicWave.h" | 34 #include "modules/webaudio/PeriodicWave.h" |
| 35 #include "modules/webaudio/PeriodicWaveOptions.h" | 35 #include "modules/webaudio/PeriodicWaveOptions.h" |
| 36 #include "platform/audio/FFTFrame.h" | 36 #include "platform/audio/FFTFrame.h" |
| 37 #include "platform/audio/VectorMath.h" | 37 #include "platform/audio/VectorMath.h" |
| 38 #include "wtf/PtrUtil.h" | 38 #include "wtf/PtrUtil.h" |
| 39 #include <algorithm> | 39 #include <algorithm> |
| 40 #include <memory> | 40 #include <memory> |
| 41 | 41 |
| 42 namespace blink { | 42 namespace blink { |
| 43 | 43 |
| 44 // The number of bands per octave. Each octave will have this many entries in t
he wave tables. | 44 // The number of bands per octave. Each octave will have this many entries in |
| 45 // the wave tables. |
| 45 const unsigned kNumberOfOctaveBands = 3; | 46 const unsigned kNumberOfOctaveBands = 3; |
| 46 | 47 |
| 47 // The max length of a periodic wave. This must be a power of two greater than o
r equal to 2048 and | 48 // The max length of a periodic wave. This must be a power of two greater than |
| 48 // must be supported by the FFT routines. | 49 // or equal to 2048 and must be supported by the FFT routines. |
| 49 const unsigned kMaxPeriodicWaveSize = 16384; | 50 const unsigned kMaxPeriodicWaveSize = 16384; |
| 50 | 51 |
| 51 const float CentsPerRange = 1200 / kNumberOfOctaveBands; | 52 const float CentsPerRange = 1200 / kNumberOfOctaveBands; |
| 52 | 53 |
| 53 using namespace VectorMath; | 54 using namespace VectorMath; |
| 54 | 55 |
| 55 PeriodicWave* PeriodicWave::create(BaseAudioContext& context, | 56 PeriodicWave* PeriodicWave::create(BaseAudioContext& context, |
| 56 size_t realLength, | 57 size_t realLength, |
| 57 const float* real, | 58 const float* real, |
| 58 size_t imagLength, | 59 size_t imagLength, |
| (...skipping 90 matching lines...) Expand 10 before | Expand all | Expand 10 after Loading... |
| 149 return periodicWave; | 150 return periodicWave; |
| 150 } | 151 } |
| 151 | 152 |
| 152 PeriodicWave::PeriodicWave(float sampleRate) | 153 PeriodicWave::PeriodicWave(float sampleRate) |
| 153 : m_v8ExternalMemory(0), | 154 : m_v8ExternalMemory(0), |
| 154 m_sampleRate(sampleRate), | 155 m_sampleRate(sampleRate), |
| 155 m_centsPerRange(CentsPerRange) { | 156 m_centsPerRange(CentsPerRange) { |
| 156 float nyquist = 0.5 * m_sampleRate; | 157 float nyquist = 0.5 * m_sampleRate; |
| 157 m_lowestFundamentalFrequency = nyquist / maxNumberOfPartials(); | 158 m_lowestFundamentalFrequency = nyquist / maxNumberOfPartials(); |
| 158 m_rateScale = periodicWaveSize() / m_sampleRate; | 159 m_rateScale = periodicWaveSize() / m_sampleRate; |
| 159 // Compute the number of ranges needed to cover the entire frequency range, as
suming | 160 // Compute the number of ranges needed to cover the entire frequency range, |
| 160 // kNumberOfOctaveBands per octave. | 161 // assuming kNumberOfOctaveBands per octave. |
| 161 m_numberOfRanges = 0.5 + kNumberOfOctaveBands * log2f(periodicWaveSize()); | 162 m_numberOfRanges = 0.5 + kNumberOfOctaveBands * log2f(periodicWaveSize()); |
| 162 } | 163 } |
| 163 | 164 |
| 164 PeriodicWave::~PeriodicWave() { | 165 PeriodicWave::~PeriodicWave() { |
| 165 adjustV8ExternalMemory(-static_cast<int64_t>(m_v8ExternalMemory)); | 166 adjustV8ExternalMemory(-static_cast<int64_t>(m_v8ExternalMemory)); |
| 166 } | 167 } |
| 167 | 168 |
| 168 unsigned PeriodicWave::periodicWaveSize() const { | 169 unsigned PeriodicWave::periodicWaveSize() const { |
| 169 // Choose an appropriate wave size for the given sample rate. This allows us
to use shorter | 170 // Choose an appropriate wave size for the given sample rate. This allows us |
| 170 // FFTs when possible to limit the complexity. The breakpoints here are somew
hat arbitrary, but | 171 // to use shorter FFTs when possible to limit the complexity. The breakpoints |
| 171 // we want sample rates around 44.1 kHz or so to have a size of 4096 to preser
ve backward | 172 // here are somewhat arbitrary, but we want sample rates around 44.1 kHz or so |
| 172 // compatibility. | 173 // to have a size of 4096 to preserve backward compatibility. |
| 173 if (m_sampleRate <= 24000) { | 174 if (m_sampleRate <= 24000) { |
| 174 return 2048; | 175 return 2048; |
| 175 } | 176 } |
| 176 | 177 |
| 177 if (m_sampleRate <= 88200) { | 178 if (m_sampleRate <= 88200) { |
| 178 return 4096; | 179 return 4096; |
| 179 } | 180 } |
| 180 | 181 |
| 181 return kMaxPeriodicWaveSize; | 182 return kMaxPeriodicWaveSize; |
| 182 } | 183 } |
| 183 | 184 |
| 184 unsigned PeriodicWave::maxNumberOfPartials() const { | 185 unsigned PeriodicWave::maxNumberOfPartials() const { |
| 185 return periodicWaveSize() / 2; | 186 return periodicWaveSize() / 2; |
| 186 } | 187 } |
| 187 | 188 |
| 188 void PeriodicWave::waveDataForFundamentalFrequency( | 189 void PeriodicWave::waveDataForFundamentalFrequency( |
| 189 float fundamentalFrequency, | 190 float fundamentalFrequency, |
| 190 float*& lowerWaveData, | 191 float*& lowerWaveData, |
| 191 float*& higherWaveData, | 192 float*& higherWaveData, |
| 192 float& tableInterpolationFactor) { | 193 float& tableInterpolationFactor) { |
| 193 // Negative frequencies are allowed, in which case we alias to the positive fr
equency. | 194 // Negative frequencies are allowed, in which case we alias to the positive |
| 195 // frequency. |
| 194 fundamentalFrequency = fabsf(fundamentalFrequency); | 196 fundamentalFrequency = fabsf(fundamentalFrequency); |
| 195 | 197 |
| 196 // Calculate the pitch range. | 198 // Calculate the pitch range. |
| 197 float ratio = fundamentalFrequency > 0 | 199 float ratio = fundamentalFrequency > 0 |
| 198 ? fundamentalFrequency / m_lowestFundamentalFrequency | 200 ? fundamentalFrequency / m_lowestFundamentalFrequency |
| 199 : 0.5; | 201 : 0.5; |
| 200 float centsAboveLowestFrequency = log2f(ratio) * 1200; | 202 float centsAboveLowestFrequency = log2f(ratio) * 1200; |
| 201 | 203 |
| 202 // Add one to round-up to the next range just in time to truncate partials bef
ore aliasing occurs. | 204 // Add one to round-up to the next range just in time to truncate partials |
| 205 // before aliasing occurs. |
| 203 float pitchRange = 1 + centsAboveLowestFrequency / m_centsPerRange; | 206 float pitchRange = 1 + centsAboveLowestFrequency / m_centsPerRange; |
| 204 | 207 |
| 205 pitchRange = std::max(pitchRange, 0.0f); | 208 pitchRange = std::max(pitchRange, 0.0f); |
| 206 pitchRange = std::min(pitchRange, static_cast<float>(numberOfRanges() - 1)); | 209 pitchRange = std::min(pitchRange, static_cast<float>(numberOfRanges() - 1)); |
| 207 | 210 |
| 208 // The words "lower" and "higher" refer to the table data having the lower and
higher numbers of partials. | 211 // The words "lower" and "higher" refer to the table data having the lower and |
| 209 // It's a little confusing since the range index gets larger the more partials
we cull out. | 212 // higher numbers of partials. It's a little confusing since the range index |
| 210 // So the lower table data will have a larger range index. | 213 // gets larger the more partials we cull out. So the lower table data will |
| 214 // have a larger range index. |
| 211 unsigned rangeIndex1 = static_cast<unsigned>(pitchRange); | 215 unsigned rangeIndex1 = static_cast<unsigned>(pitchRange); |
| 212 unsigned rangeIndex2 = | 216 unsigned rangeIndex2 = |
| 213 rangeIndex1 < numberOfRanges() - 1 ? rangeIndex1 + 1 : rangeIndex1; | 217 rangeIndex1 < numberOfRanges() - 1 ? rangeIndex1 + 1 : rangeIndex1; |
| 214 | 218 |
| 215 lowerWaveData = m_bandLimitedTables[rangeIndex2]->data(); | 219 lowerWaveData = m_bandLimitedTables[rangeIndex2]->data(); |
| 216 higherWaveData = m_bandLimitedTables[rangeIndex1]->data(); | 220 higherWaveData = m_bandLimitedTables[rangeIndex1]->data(); |
| 217 | 221 |
| 218 // Ranges from 0 -> 1 to interpolate between lower -> higher. | 222 // Ranges from 0 -> 1 to interpolate between lower -> higher. |
| 219 tableInterpolationFactor = pitchRange - rangeIndex1; | 223 tableInterpolationFactor = pitchRange - rangeIndex1; |
| 220 } | 224 } |
| 221 | 225 |
| 222 unsigned PeriodicWave::numberOfPartialsForRange(unsigned rangeIndex) const { | 226 unsigned PeriodicWave::numberOfPartialsForRange(unsigned rangeIndex) const { |
| 223 // Number of cents below nyquist where we cull partials. | 227 // Number of cents below nyquist where we cull partials. |
| 224 float centsToCull = rangeIndex * m_centsPerRange; | 228 float centsToCull = rangeIndex * m_centsPerRange; |
| 225 | 229 |
| 226 // A value from 0 -> 1 representing what fraction of the partials to keep. | 230 // A value from 0 -> 1 representing what fraction of the partials to keep. |
| 227 float cullingScale = pow(2, -centsToCull / 1200); | 231 float cullingScale = pow(2, -centsToCull / 1200); |
| 228 | 232 |
| 229 // The very top range will have all the partials culled. | 233 // The very top range will have all the partials culled. |
| 230 unsigned numberOfPartials = cullingScale * maxNumberOfPartials(); | 234 unsigned numberOfPartials = cullingScale * maxNumberOfPartials(); |
| 231 | 235 |
| 232 return numberOfPartials; | 236 return numberOfPartials; |
| 233 } | 237 } |
| 234 | 238 |
| 235 // Tell V8 about the memory we're using so it can properly schedule garbage coll
ects. | 239 // Tell V8 about the memory we're using so it can properly schedule garbage |
| 240 // collects. |
| 236 void PeriodicWave::adjustV8ExternalMemory(int delta) { | 241 void PeriodicWave::adjustV8ExternalMemory(int delta) { |
| 237 v8::Isolate::GetCurrent()->AdjustAmountOfExternalAllocatedMemory(delta); | 242 v8::Isolate::GetCurrent()->AdjustAmountOfExternalAllocatedMemory(delta); |
| 238 m_v8ExternalMemory += delta; | 243 m_v8ExternalMemory += delta; |
| 239 } | 244 } |
| 240 | 245 |
| 241 // Convert into time-domain wave buffers. | 246 // Convert into time-domain wave buffers. One table is created for each range |
| 242 // One table is created for each range for non-aliasing playback at different pl
ayback rates. | 247 // for non-aliasing playback at different playback rates. Thus, higher ranges |
| 243 // Thus, higher ranges have more high-frequency partials culled out. | 248 // have more high-frequency partials culled out. |
| 244 void PeriodicWave::createBandLimitedTables(const float* realData, | 249 void PeriodicWave::createBandLimitedTables(const float* realData, |
| 245 const float* imagData, | 250 const float* imagData, |
| 246 unsigned numberOfComponents, | 251 unsigned numberOfComponents, |
| 247 bool disableNormalization) { | 252 bool disableNormalization) { |
| 248 // TODO(rtoy): Figure out why this needs to be 0.5 when normalization is disab
led. | 253 // TODO(rtoy): Figure out why this needs to be 0.5 when normalization is |
| 254 // disabled. |
| 249 float normalizationScale = 0.5; | 255 float normalizationScale = 0.5; |
| 250 | 256 |
| 251 unsigned fftSize = periodicWaveSize(); | 257 unsigned fftSize = periodicWaveSize(); |
| 252 unsigned halfSize = fftSize / 2; | 258 unsigned halfSize = fftSize / 2; |
| 253 unsigned i; | 259 unsigned i; |
| 254 | 260 |
| 255 numberOfComponents = std::min(numberOfComponents, halfSize); | 261 numberOfComponents = std::min(numberOfComponents, halfSize); |
| 256 | 262 |
| 257 m_bandLimitedTables.reserveCapacity(numberOfRanges()); | 263 m_bandLimitedTables.reserveCapacity(numberOfRanges()); |
| 258 | 264 |
| 259 FFTFrame frame(fftSize); | 265 FFTFrame frame(fftSize); |
| 260 for (unsigned rangeIndex = 0; rangeIndex < numberOfRanges(); ++rangeIndex) { | 266 for (unsigned rangeIndex = 0; rangeIndex < numberOfRanges(); ++rangeIndex) { |
| 261 // This FFTFrame is used to cull partials (represented by frequency bins). | 267 // This FFTFrame is used to cull partials (represented by frequency bins). |
| 262 float* realP = frame.realData(); | 268 float* realP = frame.realData(); |
| 263 float* imagP = frame.imagData(); | 269 float* imagP = frame.imagData(); |
| 264 | 270 |
| 265 // Copy from loaded frequency data and generate the complex conjugate becaus
e of the way the | 271 // Copy from loaded frequency data and generate the complex conjugate |
| 266 // inverse FFT is defined versus the values in the arrays. Need to scale th
e data by | 272 // because of the way the inverse FFT is defined versus the values in the |
| 267 // fftSize to remove the scaling that the inverse IFFT would do. | 273 // arrays. Need to scale the data by fftSize to remove the scaling that the |
| 274 // inverse IFFT would do. |
| 268 float scale = fftSize; | 275 float scale = fftSize; |
| 269 vsmul(realData, 1, &scale, realP, 1, numberOfComponents); | 276 vsmul(realData, 1, &scale, realP, 1, numberOfComponents); |
| 270 scale = -scale; | 277 scale = -scale; |
| 271 vsmul(imagData, 1, &scale, imagP, 1, numberOfComponents); | 278 vsmul(imagData, 1, &scale, imagP, 1, numberOfComponents); |
| 272 | 279 |
| 273 // Find the starting bin where we should start culling. We need to clear ou
t the highest | 280 // Find the starting bin where we should start culling. We need to clear |
| 274 // frequencies to band-limit the waveform. | 281 // out the highest frequencies to band-limit the waveform. |
| 275 unsigned numberOfPartials = numberOfPartialsForRange(rangeIndex); | 282 unsigned numberOfPartials = numberOfPartialsForRange(rangeIndex); |
| 276 | 283 |
| 277 // If fewer components were provided than 1/2 FFT size, then clear the remai
ning bins. | 284 // If fewer components were provided than 1/2 FFT size, then clear the |
| 278 // We also need to cull the aliasing partials for this pitch range. | 285 // remaining bins. We also need to cull the aliasing partials for this |
| 286 // pitch range. |
| 279 for (i = std::min(numberOfComponents, numberOfPartials + 1); i < halfSize; | 287 for (i = std::min(numberOfComponents, numberOfPartials + 1); i < halfSize; |
| 280 ++i) { | 288 ++i) { |
| 281 realP[i] = 0; | 289 realP[i] = 0; |
| 282 imagP[i] = 0; | 290 imagP[i] = 0; |
| 283 } | 291 } |
| 284 | 292 |
| 285 // Clear packed-nyquist and any DC-offset. | 293 // Clear packed-nyquist and any DC-offset. |
| 286 realP[0] = 0; | 294 realP[0] = 0; |
| 287 imagP[0] = 0; | 295 imagP[0] = 0; |
| 288 | 296 |
| 289 // Create the band-limited table. | 297 // Create the band-limited table. |
| 290 unsigned waveSize = periodicWaveSize(); | 298 unsigned waveSize = periodicWaveSize(); |
| 291 std::unique_ptr<AudioFloatArray> table = | 299 std::unique_ptr<AudioFloatArray> table = |
| 292 wrapUnique(new AudioFloatArray(waveSize)); | 300 wrapUnique(new AudioFloatArray(waveSize)); |
| 293 adjustV8ExternalMemory(waveSize * sizeof(float)); | 301 adjustV8ExternalMemory(waveSize * sizeof(float)); |
| 294 m_bandLimitedTables.append(std::move(table)); | 302 m_bandLimitedTables.append(std::move(table)); |
| 295 | 303 |
| 296 // Apply an inverse FFT to generate the time-domain table data. | 304 // Apply an inverse FFT to generate the time-domain table data. |
| 297 float* data = m_bandLimitedTables[rangeIndex]->data(); | 305 float* data = m_bandLimitedTables[rangeIndex]->data(); |
| 298 frame.doInverseFFT(data); | 306 frame.doInverseFFT(data); |
| 299 | 307 |
| 300 // For the first range (which has the highest power), calculate its peak val
ue then compute normalization scale. | 308 // For the first range (which has the highest power), calculate its peak |
| 309 // value then compute normalization scale. |
| 301 if (!disableNormalization) { | 310 if (!disableNormalization) { |
| 302 if (!rangeIndex) { | 311 if (!rangeIndex) { |
| 303 float maxValue; | 312 float maxValue; |
| 304 vmaxmgv(data, 1, &maxValue, fftSize); | 313 vmaxmgv(data, 1, &maxValue, fftSize); |
| 305 | 314 |
| 306 if (maxValue) | 315 if (maxValue) |
| 307 normalizationScale = 1.0f / maxValue; | 316 normalizationScale = 1.0f / maxValue; |
| 308 } | 317 } |
| 309 } | 318 } |
| 310 | 319 |
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| 322 float* realP = real.data(); | 331 float* realP = real.data(); |
| 323 float* imagP = imag.data(); | 332 float* imagP = imag.data(); |
| 324 | 333 |
| 325 // Clear DC and Nyquist. | 334 // Clear DC and Nyquist. |
| 326 realP[0] = 0; | 335 realP[0] = 0; |
| 327 imagP[0] = 0; | 336 imagP[0] = 0; |
| 328 | 337 |
| 329 for (unsigned n = 1; n < halfSize; ++n) { | 338 for (unsigned n = 1; n < halfSize; ++n) { |
| 330 float piFactor = 2 / (n * piFloat); | 339 float piFactor = 2 / (n * piFloat); |
| 331 | 340 |
| 332 // All waveforms are odd functions with a positive slope at time 0. Hence th
e coefficients | 341 // All waveforms are odd functions with a positive slope at time 0. Hence |
| 333 // for cos() are always 0. | 342 // the coefficients for cos() are always 0. |
| 334 | 343 |
| 335 // Fourier coefficients according to standard definition: | 344 // Fourier coefficients according to standard definition: |
| 336 // b = 1/pi*integrate(f(x)*sin(n*x), x, -pi, pi) | 345 // b = 1/pi*integrate(f(x)*sin(n*x), x, -pi, pi) |
| 337 // = 2/pi*integrate(f(x)*sin(n*x), x, 0, pi) | 346 // = 2/pi*integrate(f(x)*sin(n*x), x, 0, pi) |
| 338 // since f(x) is an odd function. | 347 // since f(x) is an odd function. |
| 339 | 348 |
| 340 float b; // Coefficient for sin(). | 349 float b; // Coefficient for sin(). |
| 341 | 350 |
| 342 // Calculate Fourier coefficients depending on the shape. Note that the over
all scaling | 351 // Calculate Fourier coefficients depending on the shape. Note that the |
| 343 // (magnitude) of the waveforms is normalized in createBandLimitedTables(). | 352 // overall scaling (magnitude) of the waveforms is normalized in |
| 353 // createBandLimitedTables(). |
| 344 switch (shape) { | 354 switch (shape) { |
| 345 case OscillatorHandler::SINE: | 355 case OscillatorHandler::SINE: |
| 346 // Standard sine wave function. | 356 // Standard sine wave function. |
| 347 b = (n == 1) ? 1 : 0; | 357 b = (n == 1) ? 1 : 0; |
| 348 break; | 358 break; |
| 349 case OscillatorHandler::SQUARE: | 359 case OscillatorHandler::SQUARE: |
| 350 // Square-shaped waveform with the first half its maximum value and the
second half its | 360 // Square-shaped waveform with the first half its maximum value and the |
| 351 // minimum value. | 361 // second half its minimum value. |
| 352 // | 362 // |
| 353 // See http://mathworld.wolfram.com/FourierSeriesSquareWave.html | 363 // See http://mathworld.wolfram.com/FourierSeriesSquareWave.html |
| 354 // | 364 // |
| 355 // b[n] = 2/n/pi*(1-(-1)^n) | 365 // b[n] = 2/n/pi*(1-(-1)^n) |
| 356 // = 4/n/pi for n odd and 0 otherwise. | 366 // = 4/n/pi for n odd and 0 otherwise. |
| 357 // = 2*(2/(n*pi)) for n odd | 367 // = 2*(2/(n*pi)) for n odd |
| 358 b = (n & 1) ? 2 * piFactor : 0; | 368 b = (n & 1) ? 2 * piFactor : 0; |
| 359 break; | 369 break; |
| 360 case OscillatorHandler::SAWTOOTH: | 370 case OscillatorHandler::SAWTOOTH: |
| 361 // Sawtooth-shaped waveform with the first half ramping from zero to max
imum and the | 371 // Sawtooth-shaped waveform with the first half ramping from zero to |
| 362 // second half from minimum to zero. | 372 // maximum and the second half from minimum to zero. |
| 363 // | 373 // |
| 364 // b[n] = -2*(-1)^n/pi/n | 374 // b[n] = -2*(-1)^n/pi/n |
| 365 // = (2/(n*pi))*(-1)^(n+1) | 375 // = (2/(n*pi))*(-1)^(n+1) |
| 366 b = piFactor * ((n & 1) ? 1 : -1); | 376 b = piFactor * ((n & 1) ? 1 : -1); |
| 367 break; | 377 break; |
| 368 case OscillatorHandler::TRIANGLE: | 378 case OscillatorHandler::TRIANGLE: |
| 369 // Triangle-shaped waveform going from 0 at time 0 to 1 at time pi/2 and
back to 0 at | 379 // Triangle-shaped waveform going from 0 at time 0 to 1 at time pi/2 and |
| 370 // time pi. | 380 // back to 0 at time pi. |
| 371 // | 381 // |
| 372 // See http://mathworld.wolfram.com/FourierSeriesTriangleWave.html | 382 // See http://mathworld.wolfram.com/FourierSeriesTriangleWave.html |
| 373 // | 383 // |
| 374 // b[n] = 8*sin(pi*k/2)/(pi*k)^2 | 384 // b[n] = 8*sin(pi*k/2)/(pi*k)^2 |
| 375 // = 8/pi^2/n^2*(-1)^((n-1)/2) for n odd and 0 otherwise | 385 // = 8/pi^2/n^2*(-1)^((n-1)/2) for n odd and 0 otherwise |
| 376 // = 2*(2/(n*pi))^2 * (-1)^((n-1)/2) | 386 // = 2*(2/(n*pi))^2 * (-1)^((n-1)/2) |
| 377 if (n & 1) { | 387 if (n & 1) { |
| 378 b = 2 * (piFactor * piFactor) * ((((n - 1) >> 1) & 1) ? -1 : 1); | 388 b = 2 * (piFactor * piFactor) * ((((n - 1) >> 1) & 1) ? -1 : 1); |
| 379 } else { | 389 } else { |
| 380 b = 0; | 390 b = 0; |
| 381 } | 391 } |
| 382 break; | 392 break; |
| 383 default: | 393 default: |
| 384 ASSERT_NOT_REACHED(); | 394 ASSERT_NOT_REACHED(); |
| 385 b = 0; | 395 b = 0; |
| 386 break; | 396 break; |
| 387 } | 397 } |
| 388 | 398 |
| 389 realP[n] = 0; | 399 realP[n] = 0; |
| 390 imagP[n] = b; | 400 imagP[n] = b; |
| 391 } | 401 } |
| 392 | 402 |
| 393 createBandLimitedTables(realP, imagP, halfSize, false); | 403 createBandLimitedTables(realP, imagP, halfSize, false); |
| 394 } | 404 } |
| 395 | 405 |
| 396 } // namespace blink | 406 } // namespace blink |
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