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1 /* | 1 /* |
2 * Copyright (C) 2010, Google Inc. All rights reserved. | 2 * Copyright (C) 2010, 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 * 1. Redistributions of source code must retain the above copyright | 7 * 1. Redistributions of source code must retain the above copyright |
8 * notice, this list of conditions and the following disclaimer. | 8 * notice, this list of conditions and the following disclaimer. |
9 * 2. Redistributions in binary form must reproduce the above copyright | 9 * 2. Redistributions in binary form must reproduce the above copyright |
10 * notice, this list of conditions and the following disclaimer in the | 10 * notice, this list of conditions and the following disclaimer in the |
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343 // We are assuming that the inherent smoothing in the HRTF processing is good | 343 // We are assuming that the inherent smoothing in the HRTF processing is good |
344 // enough, and we don't want to increase the complexity of the HRTF panner by | 344 // enough, and we don't want to increase the complexity of the HRTF panner by |
345 // 15-20 times. (We need to compute one output sample for each possibly | 345 // 15-20 times. (We need to compute one output sample for each possibly |
346 // different impulse response. That N^2. Previously, we used an FFT to do | 346 // different impulse response. That N^2. Previously, we used an FFT to do |
347 // them all at once for a complexity of N/log2(N). Hence, N/log2(N) times | 347 // them all at once for a complexity of N/log2(N). Hence, N/log2(N) times |
348 // more complex.) | 348 // more complex.) |
349 Pan(desired_azimuth[0], elevation[0], input_bus, output_bus, | 349 Pan(desired_azimuth[0], elevation[0], input_bus, output_bus, |
350 frames_to_process, channel_interpretation); | 350 frames_to_process, channel_interpretation); |
351 } | 351 } |
352 | 352 |
| 353 bool HRTFPanner::RequiresTailProcessing() const { |
| 354 // Always return true since the tail and latency are never zero. |
| 355 return true; |
| 356 } |
| 357 |
353 double HRTFPanner::TailTime() const { | 358 double HRTFPanner::TailTime() const { |
354 // Because HRTFPanner is implemented with a DelayKernel and a FFTConvolver, | 359 // Because HRTFPanner is implemented with a DelayKernel and a FFTConvolver, |
355 // the tailTime of the HRTFPanner is the sum of the tailTime of the | 360 // the tailTime of the HRTFPanner is the sum of the tailTime of the |
356 // DelayKernel and the tailTime of the FFTConvolver, which is | 361 // DelayKernel and the tailTime of the FFTConvolver, which is |
357 // MaxDelayTimeSeconds and fftSize() / 2, respectively. | 362 // MaxDelayTimeSeconds and fftSize() / 2, respectively. |
358 return kMaxDelayTimeSeconds + | 363 return kMaxDelayTimeSeconds + |
359 (FftSize() / 2) / static_cast<double>(SampleRate()); | 364 (FftSize() / 2) / static_cast<double>(SampleRate()); |
360 } | 365 } |
361 | 366 |
362 double HRTFPanner::LatencyTime() const { | 367 double HRTFPanner::LatencyTime() const { |
363 // The latency of a FFTConvolver is also fftSize() / 2, and is in addition to | 368 // The latency of a FFTConvolver is also fftSize() / 2, and is in addition to |
364 // its tailTime of the same value. | 369 // its tailTime of the same value. |
365 return (FftSize() / 2) / static_cast<double>(SampleRate()); | 370 return (FftSize() / 2) / static_cast<double>(SampleRate()); |
366 } | 371 } |
367 | 372 |
368 } // namespace blink | 373 } // namespace blink |
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