632 lines
21 KiB
C
632 lines
21 KiB
C
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/*
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==============================================================================
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This file is part of the JUCE library.
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Copyright (c) 2020 - Raw Material Software Limited
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JUCE is an open source library subject to commercial or open-source
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licensing.
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The code included in this file is provided under the terms of the ISC license
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http://www.isc.org/downloads/software-support-policy/isc-license. Permission
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To use, copy, modify, and/or distribute this software for any purpose with or
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without fee is hereby granted provided that the above copyright notice and
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this permission notice appear in all copies.
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JUCE IS PROVIDED "AS IS" WITHOUT ANY WARRANTY, AND ALL WARRANTIES, WHETHER
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EXPRESSED OR IMPLIED, INCLUDING MERCHANTABILITY AND FITNESS FOR PURPOSE, ARE
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DISCLAIMED.
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==============================================================================
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*/
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namespace juce
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{
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//==============================================================================
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/**
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A base class for the smoothed value classes.
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This class is used to provide common functionality to the SmoothedValue and
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dsp::LogRampedValue classes.
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@tags{Audio}
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*/
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template <typename SmoothedValueType>
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class SmoothedValueBase
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{
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private:
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//==============================================================================
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template <typename T> struct FloatTypeHelper;
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template <template <typename> class SmoothedValueClass, typename FloatType>
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struct FloatTypeHelper <SmoothedValueClass <FloatType>>
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{
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using Type = FloatType;
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};
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template <template <typename, typename> class SmoothedValueClass, typename FloatType, typename SmoothingType>
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struct FloatTypeHelper <SmoothedValueClass <FloatType, SmoothingType>>
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{
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using Type = FloatType;
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};
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public:
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using FloatType = typename FloatTypeHelper<SmoothedValueType>::Type;
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//==============================================================================
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/** Constructor. */
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SmoothedValueBase() = default;
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virtual ~SmoothedValueBase() {}
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//==============================================================================
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/** Returns true if the current value is currently being interpolated. */
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bool isSmoothing() const noexcept { return countdown > 0; }
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/** Returns the current value of the ramp. */
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FloatType getCurrentValue() const noexcept { return currentValue; }
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//==============================================================================
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/** Returns the target value towards which the smoothed value is currently moving. */
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FloatType getTargetValue() const noexcept { return target; }
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/** Sets the current value and the target value.
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@param newValue the new value to take
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*/
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void setCurrentAndTargetValue (FloatType newValue)
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{
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target = currentValue = newValue;
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countdown = 0;
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}
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//==============================================================================
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/** Applies a smoothed gain to a stream of samples
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S[i] *= gain
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@param samples Pointer to a raw array of samples
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@param numSamples Length of array of samples
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*/
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void applyGain (FloatType* samples, int numSamples) noexcept
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{
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jassert (numSamples >= 0);
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if (isSmoothing())
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{
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for (int i = 0; i < numSamples; ++i)
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samples[i] *= getNextSmoothedValue();
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}
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else
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{
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FloatVectorOperations::multiply (samples, target, numSamples);
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}
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}
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/** Computes output as a smoothed gain applied to a stream of samples.
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Sout[i] = Sin[i] * gain
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@param samplesOut A pointer to a raw array of output samples
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@param samplesIn A pointer to a raw array of input samples
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@param numSamples The length of the array of samples
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*/
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void applyGain (FloatType* samplesOut, const FloatType* samplesIn, int numSamples) noexcept
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{
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jassert (numSamples >= 0);
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if (isSmoothing())
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{
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for (int i = 0; i < numSamples; ++i)
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samplesOut[i] = samplesIn[i] * getNextSmoothedValue();
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}
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else
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{
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FloatVectorOperations::multiply (samplesOut, samplesIn, target, numSamples);
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}
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}
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/** Applies a smoothed gain to a buffer */
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void applyGain (AudioBuffer<FloatType>& buffer, int numSamples) noexcept
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{
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jassert (numSamples >= 0);
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if (isSmoothing())
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{
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if (buffer.getNumChannels() == 1)
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{
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auto* samples = buffer.getWritePointer (0);
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for (int i = 0; i < numSamples; ++i)
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samples[i] *= getNextSmoothedValue();
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}
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else
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{
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for (auto i = 0; i < numSamples; ++i)
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{
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auto gain = getNextSmoothedValue();
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for (int channel = 0; channel < buffer.getNumChannels(); channel++)
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buffer.setSample (channel, i, buffer.getSample (channel, i) * gain);
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}
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}
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}
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else
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{
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buffer.applyGain (0, numSamples, target);
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}
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}
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private:
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//==============================================================================
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FloatType getNextSmoothedValue() noexcept
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{
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return static_cast <SmoothedValueType*> (this)->getNextValue();
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}
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protected:
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//==============================================================================
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FloatType currentValue = 0;
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FloatType target = currentValue;
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int countdown = 0;
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};
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//==============================================================================
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/**
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A namespace containing a set of types used for specifying the smoothing
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behaviour of the SmoothedValue class.
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For example:
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@code
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SmoothedValue<float, ValueSmoothingTypes::Multiplicative> frequency (1.0f);
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@endcode
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*/
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namespace ValueSmoothingTypes
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{
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/**
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Used to indicate a linear smoothing between values.
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@tags{Audio}
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*/
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struct Linear {};
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/**
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Used to indicate a smoothing between multiplicative values.
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@tags{Audio}
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*/
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struct Multiplicative {};
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}
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//==============================================================================
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/**
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A utility class for values that need smoothing to avoid audio glitches.
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A ValueSmoothingTypes::Linear template parameter selects linear smoothing,
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which increments the SmoothedValue linearly towards its target value.
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@code
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SmoothedValue<float, ValueSmoothingTypes::Linear> yourSmoothedValue;
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@endcode
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A ValueSmoothingTypes::Multiplicative template parameter selects
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multiplicative smoothing increments towards the target value.
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@code
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SmoothedValue<float, ValueSmoothingTypes::Multiplicative> yourSmoothedValue;
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@endcode
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Multiplicative smoothing is useful when you are dealing with
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exponential/logarithmic values like volume in dB or frequency in Hz. For
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example a 12 step ramp from 440.0 Hz (A4) to 880.0 Hz (A5) will increase the
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frequency with an equal temperament tuning across the octave. A 10 step
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smoothing from 1.0 (0 dB) to 3.16228 (10 dB) will increase the value in
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increments of 1 dB.
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Note that when you are using multiplicative smoothing you cannot ever reach a
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target value of zero!
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@tags{Audio}
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*/
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template <typename FloatType, typename SmoothingType = ValueSmoothingTypes::Linear>
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class SmoothedValue : public SmoothedValueBase <SmoothedValue <FloatType, SmoothingType>>
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{
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public:
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//==============================================================================
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/** Constructor. */
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SmoothedValue() noexcept
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: SmoothedValue ((FloatType) (std::is_same<SmoothingType, ValueSmoothingTypes::Linear>::value ? 0 : 1))
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{
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}
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/** Constructor. */
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SmoothedValue (FloatType initialValue) noexcept
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{
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// Multiplicative smoothed values cannot ever reach 0!
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jassert (! (std::is_same<SmoothingType, ValueSmoothingTypes::Multiplicative>::value && initialValue == 0));
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// Visual Studio can't handle base class initialisation with CRTP
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this->currentValue = initialValue;
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this->target = this->currentValue;
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}
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//==============================================================================
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/** Reset to a new sample rate and ramp length.
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@param sampleRate The sample rate
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@param rampLengthInSeconds The duration of the ramp in seconds
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*/
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void reset (double sampleRate, double rampLengthInSeconds) noexcept
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{
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jassert (sampleRate > 0 && rampLengthInSeconds >= 0);
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reset ((int) std::floor (rampLengthInSeconds * sampleRate));
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}
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/** Set a new ramp length directly in samples.
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@param numSteps The number of samples over which the ramp should be active
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*/
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void reset (int numSteps) noexcept
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{
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stepsToTarget = numSteps;
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this->setCurrentAndTargetValue (this->target);
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}
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//==============================================================================
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/** Set the next value to ramp towards.
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@param newValue The new target value
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*/
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void setTargetValue (FloatType newValue) noexcept
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{
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if (newValue == this->target)
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return;
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if (stepsToTarget <= 0)
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{
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this->setCurrentAndTargetValue (newValue);
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return;
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}
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// Multiplicative smoothed values cannot ever reach 0!
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jassert (! (std::is_same<SmoothingType, ValueSmoothingTypes::Multiplicative>::value && newValue == 0));
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this->target = newValue;
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this->countdown = stepsToTarget;
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setStepSize();
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}
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//==============================================================================
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/** Compute the next value.
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@returns Smoothed value
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*/
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FloatType getNextValue() noexcept
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{
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if (! this->isSmoothing())
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return this->target;
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--(this->countdown);
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if (this->isSmoothing())
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setNextValue();
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else
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this->currentValue = this->target;
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return this->currentValue;
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}
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//==============================================================================
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/** Skip the next numSamples samples.
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This is identical to calling getNextValue numSamples times. It returns
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the new current value.
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@see getNextValue
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*/
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FloatType skip (int numSamples) noexcept
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{
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if (numSamples >= this->countdown)
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{
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this->setCurrentAndTargetValue (this->target);
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return this->target;
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}
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skipCurrentValue (numSamples);
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this->countdown -= numSamples;
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return this->currentValue;
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}
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//==============================================================================
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#ifndef DOXYGEN
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/** Using the new methods:
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lsv.setValue (x, false); -> lsv.setTargetValue (x);
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lsv.setValue (x, true); -> lsv.setCurrentAndTargetValue (x);
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@param newValue The new target value
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@param force If true, the value will be set immediately, bypassing the ramp
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*/
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[[deprecated ("Use setTargetValue and setCurrentAndTargetValue instead.")]]
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void setValue (FloatType newValue, bool force = false) noexcept
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{
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if (force)
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{
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this->setCurrentAndTargetValue (newValue);
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return;
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}
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setTargetValue (newValue);
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}
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#endif
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private:
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//==============================================================================
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template <typename T>
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using LinearVoid = typename std::enable_if <std::is_same <T, ValueSmoothingTypes::Linear>::value, void>::type;
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template <typename T>
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using MultiplicativeVoid = typename std::enable_if <std::is_same <T, ValueSmoothingTypes::Multiplicative>::value, void>::type;
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//==============================================================================
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template <typename T = SmoothingType>
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LinearVoid<T> setStepSize() noexcept
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{
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step = (this->target - this->currentValue) / (FloatType) this->countdown;
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}
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template <typename T = SmoothingType>
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MultiplicativeVoid<T> setStepSize()
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{
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step = std::exp ((std::log (std::abs (this->target)) - std::log (std::abs (this->currentValue))) / (FloatType) this->countdown);
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}
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//==============================================================================
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template <typename T = SmoothingType>
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LinearVoid<T> setNextValue() noexcept
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{
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this->currentValue += step;
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}
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template <typename T = SmoothingType>
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MultiplicativeVoid<T> setNextValue() noexcept
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{
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this->currentValue *= step;
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}
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//==============================================================================
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template <typename T = SmoothingType>
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LinearVoid<T> skipCurrentValue (int numSamples) noexcept
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{
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this->currentValue += step * (FloatType) numSamples;
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}
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template <typename T = SmoothingType>
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MultiplicativeVoid<T> skipCurrentValue (int numSamples)
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{
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this->currentValue *= (FloatType) std::pow (step, numSamples);
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}
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//==============================================================================
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FloatType step = FloatType();
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int stepsToTarget = 0;
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};
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template <typename FloatType>
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using LinearSmoothedValue = SmoothedValue <FloatType, ValueSmoothingTypes::Linear>;
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//==============================================================================
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//==============================================================================
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#if JUCE_UNIT_TESTS
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template <class SmoothedValueType>
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class CommonSmoothedValueTests : public UnitTest
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{
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public:
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CommonSmoothedValueTests()
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: UnitTest ("CommonSmoothedValueTests", UnitTestCategories::smoothedValues)
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{}
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void runTest() override
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{
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beginTest ("Initial state");
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{
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SmoothedValueType sv;
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auto value = sv.getCurrentValue();
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expectEquals (sv.getTargetValue(), value);
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sv.getNextValue();
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expectEquals (sv.getCurrentValue(), value);
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expect (! sv.isSmoothing());
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}
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beginTest ("Resetting");
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{
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auto initialValue = 15.0f;
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SmoothedValueType sv (initialValue);
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sv.reset (3);
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expectEquals (sv.getCurrentValue(), initialValue);
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auto targetValue = initialValue + 1.0f;
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sv.setTargetValue (targetValue);
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expectEquals (sv.getTargetValue(), targetValue);
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expectEquals (sv.getCurrentValue(), initialValue);
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expect (sv.isSmoothing());
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auto currentValue = sv.getNextValue();
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expect (currentValue > initialValue);
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expectEquals (sv.getCurrentValue(), currentValue);
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expectEquals (sv.getTargetValue(), targetValue);
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expect (sv.isSmoothing());
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sv.reset (5);
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expectEquals (sv.getCurrentValue(), targetValue);
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expectEquals (sv.getTargetValue(), targetValue);
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expect (! sv.isSmoothing());
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sv.getNextValue();
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expectEquals (sv.getCurrentValue(), targetValue);
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sv.setTargetValue (1.5f);
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sv.getNextValue();
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float newStart = 0.2f;
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sv.setCurrentAndTargetValue (newStart);
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expectEquals (sv.getNextValue(), newStart);
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expectEquals (sv.getTargetValue(), newStart);
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expectEquals (sv.getCurrentValue(), newStart);
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expect (! sv.isSmoothing());
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}
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beginTest ("Sample rate");
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{
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SmoothedValueType svSamples { 3.0f };
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auto svTime = svSamples;
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auto numSamples = 12;
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svSamples.reset (numSamples);
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svTime.reset (numSamples * 2, 1.0);
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for (int i = 0; i < numSamples; ++i)
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{
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svTime.skip (1);
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expectWithinAbsoluteError (svSamples.getNextValue(),
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svTime.getNextValue(),
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1.0e-7f);
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}
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}
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beginTest ("Block processing");
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{
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SmoothedValueType sv (1.0f);
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sv.reset (12);
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sv.setTargetValue (2.0f);
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const auto numSamples = 15;
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AudioBuffer<float> referenceData (1, numSamples);
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for (int i = 0; i < numSamples; ++i)
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referenceData.setSample (0, i, sv.getNextValue());
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expect (referenceData.getSample (0, 0) > 0);
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expect (referenceData.getSample (0, 10) < sv.getTargetValue());
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expectWithinAbsoluteError (referenceData.getSample (0, 11),
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sv.getTargetValue(),
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2.0e-7f);
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auto getUnitData = [] (int numSamplesToGenerate)
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{
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AudioBuffer<float> result (1, numSamplesToGenerate);
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for (int i = 0; i < numSamplesToGenerate; ++i)
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result.setSample (0, i, 1.0f);
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return result;
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};
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auto compareData = [this] (const AudioBuffer<float>& test,
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const AudioBuffer<float>& reference)
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{
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for (int i = 0; i < test.getNumSamples(); ++i)
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expectWithinAbsoluteError (test.getSample (0, i),
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reference.getSample (0, i),
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2.0e-7f);
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};
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auto testData = getUnitData (numSamples);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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sv.applyGain (testData.getWritePointer (0), numSamples);
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compareData (testData, referenceData);
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testData = getUnitData (numSamples);
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AudioBuffer<float> destData (1, numSamples);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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sv.applyGain (destData.getWritePointer (0),
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testData.getReadPointer (0),
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numSamples);
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compareData (destData, referenceData);
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compareData (testData, getUnitData (numSamples));
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testData = getUnitData (numSamples);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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sv.applyGain (testData, numSamples);
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compareData (testData, referenceData);
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}
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beginTest ("Skip");
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{
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SmoothedValueType sv;
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sv.reset (12);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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Array<float> reference;
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for (int i = 0; i < 15; ++i)
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reference.add (sv.getNextValue());
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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expectWithinAbsoluteError (sv.skip (1), reference[0], 1.0e-6f);
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expectWithinAbsoluteError (sv.skip (1), reference[1], 1.0e-6f);
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expectWithinAbsoluteError (sv.skip (2), reference[3], 1.0e-6f);
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sv.skip (3);
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expectWithinAbsoluteError (sv.getCurrentValue(), reference[6], 1.0e-6f);
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expectEquals (sv.skip (300), sv.getTargetValue());
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expectEquals (sv.getCurrentValue(), sv.getTargetValue());
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}
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beginTest ("Negative");
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{
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SmoothedValueType sv;
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auto numValues = 12;
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sv.reset (numValues);
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std::vector<std::pair<float, float>> ranges = { { -1.0f, -2.0f },
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{ -100.0f, -3.0f } };
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for (auto range : ranges)
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{
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auto start = range.first, end = range.second;
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sv.setCurrentAndTargetValue (start);
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sv.setTargetValue (end);
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auto val = sv.skip (numValues / 2);
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if (end > start)
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expect (val > start && val < end);
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else
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expect (val < start && val > end);
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auto nextVal = sv.getNextValue();
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expect (end > start ? (nextVal > val) : (nextVal < val));
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auto endVal = sv.skip (500);
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expectEquals (endVal, end);
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expectEquals (sv.getNextValue(), end);
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expectEquals (sv.getCurrentValue(), end);
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sv.setCurrentAndTargetValue (start);
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sv.setTargetValue (end);
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SmoothedValueType positiveSv { -start };
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positiveSv.reset (numValues);
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positiveSv.setTargetValue (-end);
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for (int i = 0; i < numValues + 2; ++i)
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expectEquals (sv.getNextValue(), -positiveSv.getNextValue());
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}
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}
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}
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};
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#endif
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} // namespace juce
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