/* ============================================================================== This file is part of the JUCE library. Copyright (c) 2022 - Raw Material Software Limited JUCE is an open source library subject to commercial or open-source licensing. By using JUCE, you agree to the terms of both the JUCE 7 End-User License Agreement and JUCE Privacy Policy. End User License Agreement: www.juce.com/juce-7-licence Privacy Policy: www.juce.com/juce-privacy-policy Or: You may also use this code under the terms of the GPL v3 (see www.gnu.org/licenses). JUCE IS PROVIDED "AS IS" WITHOUT ANY WARRANTY, AND ALL WARRANTIES, WHETHER EXPRESSED OR IMPLIED, INCLUDING MERCHANTABILITY AND FITNESS FOR PURPOSE, ARE DISCLAIMED. ============================================================================== */ namespace juce { namespace dsp { /** Used by the Convolution to dispatch engine-update messages on a background thread. May be shared between multiple Convolution instances. @tags{DSP} */ class JUCE_API ConvolutionMessageQueue { public: /** Initialises the queue to a default size. If your Convolution is updated very frequently, or you are sharing this queue between multiple Convolutions, consider using the alternative constructor taking an explicit size argument. */ ConvolutionMessageQueue(); ~ConvolutionMessageQueue() noexcept; /** Initialises the queue with the specified number of entries. In general, the number of required entries scales with the number of Convolutions sharing the same Queue, and the frequency of updates to those Convolutions. */ explicit ConvolutionMessageQueue (int numEntries); ConvolutionMessageQueue (ConvolutionMessageQueue&&) noexcept; ConvolutionMessageQueue& operator= (ConvolutionMessageQueue&&) noexcept; ConvolutionMessageQueue (const ConvolutionMessageQueue&) = delete; ConvolutionMessageQueue& operator= (const ConvolutionMessageQueue&) = delete; private: struct Impl; std::unique_ptr pimpl; friend class Convolution; }; /** Performs stereo partitioned convolution of an input signal with an impulse response in the frequency domain, using the JUCE FFT class. This class provides some thread-safe functions to load impulse responses from audio files or memory on-the-fly without noticeable artefacts, performing resampling and trimming if necessary. The processing performed by this class is equivalent to the time domain convolution done in the FIRFilter class, with a FIRFilter::Coefficients object having the samples of the impulse response as its coefficients. However, in general it is more efficient to do frequency domain convolution when the size of the impulse response is 64 samples or greater. Note: The default operation of this class uses zero latency and a uniform partitioned algorithm. If the impulse response size is large, or if the algorithm is too CPU intensive, it is possible to use either a fixed latency version of the algorithm, or a simple non-uniform partitioned convolution algorithm. Threading: It is not safe to interleave calls to the methods of this class. If you need to load new impulse responses during processing the load() calls must be synchronised with process() calls, which in practice means making the load() call from the audio thread. The loadImpulseResponse() functions *are* wait-free and are therefore suitable for use in a realtime context. @see FIRFilter, FIRFilter::Coefficients, FFT @tags{DSP} */ class JUCE_API Convolution { public: //============================================================================== /** Initialises an object for performing convolution in the frequency domain. */ Convolution(); /** Initialises a convolution engine using a shared background message queue. IMPORTANT: the queue *must* remain alive throughout the lifetime of the Convolution. */ explicit Convolution (ConvolutionMessageQueue& queue); /** Contains configuration information for a convolution with a fixed latency. */ struct Latency { int latencyInSamples; }; /** Initialises an object for performing convolution with a fixed latency. If the requested latency is zero, the actual latency will also be zero. For requested latencies greater than zero, the actual latency will always at least as large as the requested latency. Using a fixed non-zero latency can reduce the CPU consumption of the convolution algorithm. @param requiredLatency the minimum latency */ explicit Convolution (const Latency& requiredLatency); /** Contains configuration information for a non-uniform convolution. */ struct NonUniform { int headSizeInSamples; }; /** Initialises an object for performing convolution in the frequency domain using a non-uniform partitioned algorithm. A requiredHeadSize of 256 samples or greater will improve the efficiency of the processing for IR sizes of 4096 samples or greater (recommended for reverberation IRs). @param requiredHeadSize the head IR size for two stage non-uniform partitioned convolution */ explicit Convolution (const NonUniform& requiredHeadSize); /** Behaves the same as the constructor taking a single Latency argument, but with a shared background message queue. IMPORTANT: the queue *must* remain alive throughout the lifetime of the Convolution. */ Convolution (const Latency&, ConvolutionMessageQueue&); /** Behaves the same as the constructor taking a single NonUniform argument, but with a shared background message queue. IMPORTANT: the queue *must* remain alive throughout the lifetime of the Convolution. */ Convolution (const NonUniform&, ConvolutionMessageQueue&); ~Convolution() noexcept; //============================================================================== /** Must be called before first calling process. In general, calls to loadImpulseResponse() load the impulse response (IR) asynchronously. The IR will become active once it has been completely loaded and processed, which may take some time. Calling prepare() will ensure that the IR supplied to the most recent call to loadImpulseResponse() is fully initialised. This IR will then be active during the next call to process(). It is recommended to call loadImpulseResponse() *before* prepare() if a specific IR must be active during the first process() call. */ void prepare (const ProcessSpec&); /** Resets the processing pipeline ready to start a new stream of data. */ void reset() noexcept; /** Performs the filter operation on the given set of samples with optional stereo processing. */ template ::value, int> = 0> void process (const ProcessContext& context) noexcept { processSamples (context.getInputBlock(), context.getOutputBlock(), context.isBypassed); } //============================================================================== enum class Stereo { no, yes }; enum class Trim { no, yes }; enum class Normalise { no, yes }; //============================================================================== /** This function loads an impulse response audio file from memory, added in a JUCE project with the Projucer as binary data. It can load any of the audio formats registered in JUCE, and performs some resampling and pre-processing as well if needed. Note: Don't try to use this function on float samples, since the data is expected to be an audio file in its binary format. Be sure that the original data remains constant throughout the lifetime of the Convolution object, as the loading process will happen on a background thread once this function has returned. @param sourceData the block of data to use as the stream's source @param sourceDataSize the number of bytes in the source data block @param isStereo selects either stereo or mono @param requiresTrimming optionally trim the start and the end of the impulse response @param size the expected size for the impulse response after loading, can be set to 0 to requesting the original impulse response size @param requiresNormalisation optionally normalise the impulse response amplitude */ void loadImpulseResponse (const void* sourceData, size_t sourceDataSize, Stereo isStereo, Trim requiresTrimming, size_t size, Normalise requiresNormalisation = Normalise::yes); /** This function loads an impulse response from an audio file. It can load any of the audio formats registered in JUCE, and performs some resampling and pre-processing as well if needed. @param fileImpulseResponse the location of the audio file @param isStereo selects either stereo or mono @param requiresTrimming optionally trim the start and the end of the impulse response @param size the expected size for the impulse response after loading, can be set to 0 to requesting the original impulse response size @param requiresNormalisation optionally normalise the impulse response amplitude */ void loadImpulseResponse (const File& fileImpulseResponse, Stereo isStereo, Trim requiresTrimming, size_t size, Normalise requiresNormalisation = Normalise::yes); /** This function loads an impulse response from an audio buffer. To avoid memory allocation on the audio thread, this function takes ownership of the buffer passed in. If calling this function during processing, make sure that the buffer is not allocated on the audio thread (be careful of accidental copies!). If you need to pass arbitrary/generated buffers it's recommended to create these buffers on a separate thread and to use some wait-free construct (a lock-free queue or a SpinLock/GenericScopedTryLock combination) to transfer ownership to the audio thread without allocating. @param buffer the AudioBuffer to use @param bufferSampleRate the sampleRate of the data in the AudioBuffer @param isStereo selects either stereo or mono @param requiresTrimming optionally trim the start and the end of the impulse response @param requiresNormalisation optionally normalise the impulse response amplitude */ void loadImpulseResponse (AudioBuffer&& buffer, double bufferSampleRate, Stereo isStereo, Trim requiresTrimming, Normalise requiresNormalisation); /** This function returns the size of the current IR in samples. */ int getCurrentIRSize() const; /** This function returns the current latency of the process in samples. Note: This is the latency of the convolution engine, not the latency associated with the current impulse response choice that has to be considered separately (linear phase filters, for example). */ int getLatency() const; private: //============================================================================== Convolution (const Latency&, const NonUniform&, OptionalScopedPointer&&); void processSamples (const AudioBlock&, AudioBlock&, bool isBypassed) noexcept; class Mixer { public: void prepare (const ProcessSpec&); template void processSamples (const AudioBlock&, AudioBlock&, bool isBypassed, ProcessWet&&) noexcept; void reset(); private: std::array, 2> volumeDry, volumeWet; AudioBlock dryBlock; HeapBlock dryBlockStorage; double sampleRate = 0; bool currentIsBypassed = false; }; //============================================================================== class Impl; std::unique_ptr pimpl; //============================================================================== Mixer mixer; bool isActive = false; //============================================================================== JUCE_DECLARE_NON_COPYABLE_WITH_LEAK_DETECTOR (Convolution) }; } // namespace dsp } // namespace juce