An interpolator base class for resampling streams of floats.
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#include <juce_GenericInterpolator.h>
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| GenericInterpolator () noexcept |
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| GenericInterpolator (GenericInterpolator &&) noexcept=default |
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GenericInterpolator & | operator= (GenericInterpolator &&) noexcept=default |
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void | reset () noexcept |
| Resets the state of the interpolator.
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int | process (double speedRatio, const float *inputSamples, float *outputSamples, int numOutputSamplesToProduce) noexcept |
| Resamples a stream of samples.
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int | process (double speedRatio, const float *inputSamples, float *outputSamples, int numOutputSamplesToProduce, int numInputSamplesAvailable, int wrapAround) noexcept |
| Resamples a stream of samples.
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int | processAdding (double speedRatio, const float *inputSamples, float *outputSamples, int numOutputSamplesToProduce, float gain) noexcept |
| Resamples a stream of samples, adding the results to the output data with a gain.
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int | processAdding (double speedRatio, const float *inputSamples, float *outputSamples, int numOutputSamplesToProduce, int numInputSamplesAvailable, int wrapAround, float gain) noexcept |
| Resamples a stream of samples, adding the results to the output data with a gain.
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static constexpr float | getBaseLatency () noexcept |
| Returns the latency of the interpolation algorithm in isolation.
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template<class InterpolatorTraits, int memorySize>
class GenericInterpolator< InterpolatorTraits, memorySize >
An interpolator base class for resampling streams of floats.
Note that the resamplers are stateful, so when there's a break in the continuity of the input stream you're feeding it, you should call reset() before feeding it any new data. And like with any other stateful filter, if you're resampling multiple channels, make sure each one uses its own interpolator object.
- See also
- LagrangeInterpolator, CatmullRomInterpolator, WindowedSincInterpolator, LinearInterpolator, ZeroOrderHoldInterpolator
◆ GenericInterpolator() [1/2]
template<class InterpolatorTraits , int memorySize>
◆ GenericInterpolator() [2/2]
template<class InterpolatorTraits , int memorySize>
◆ operator=()
template<class InterpolatorTraits , int memorySize>
◆ getBaseLatency()
template<class InterpolatorTraits , int memorySize>
static constexpr float GenericInterpolator< InterpolatorTraits, memorySize >::getBaseLatency |
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staticconstexprnoexcept |
Returns the latency of the interpolation algorithm in isolation.
In the context of resampling the total latency of a process using the interpolator is the base latency divided by the speed ratio.
◆ reset()
template<class InterpolatorTraits , int memorySize>
Resets the state of the interpolator.
Call this when there's a break in the continuity of the input data stream.
◆ process() [1/2]
template<class InterpolatorTraits , int memorySize>
int GenericInterpolator< InterpolatorTraits, memorySize >::process |
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double | speedRatio, |
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const float * | inputSamples, |
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float * | outputSamples, |
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int | numOutputSamplesToProduce ) |
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noexcept |
Resamples a stream of samples.
- Parameters
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speedRatio | the number of input samples to use for each output sample |
inputSamples | the source data to read from. This must contain at least (speedRatio * numOutputSamplesToProduce) samples. |
outputSamples | the buffer to write the results into |
numOutputSamplesToProduce | the number of output samples that should be created |
- Returns
- the actual number of input samples that were used
◆ process() [2/2]
template<class InterpolatorTraits , int memorySize>
int GenericInterpolator< InterpolatorTraits, memorySize >::process |
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double | speedRatio, |
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const float * | inputSamples, |
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float * | outputSamples, |
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int | numOutputSamplesToProduce, |
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int | numInputSamplesAvailable, |
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int | wrapAround ) |
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noexcept |
Resamples a stream of samples.
- Parameters
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speedRatio | the number of input samples to use for each output sample |
inputSamples | the source data to read from. This must contain at least (speedRatio * numOutputSamplesToProduce) samples. |
outputSamples | the buffer to write the results into |
numOutputSamplesToProduce | the number of output samples that should be created |
numInputSamplesAvailable | the number of available input samples. If it needs more samples than available, it either wraps back for wrapAround samples, or it feeds zeroes |
wrapAround | if the stream exceeds available samples, it wraps back for wrapAround samples. If wrapAround is set to 0, it will feed zeroes. |
- Returns
- the actual number of input samples that were used
◆ processAdding() [1/2]
template<class InterpolatorTraits , int memorySize>
int GenericInterpolator< InterpolatorTraits, memorySize >::processAdding |
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double | speedRatio, |
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const float * | inputSamples, |
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float * | outputSamples, |
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int | numOutputSamplesToProduce, |
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float | gain ) |
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noexcept |
Resamples a stream of samples, adding the results to the output data with a gain.
- Parameters
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speedRatio | the number of input samples to use for each output sample |
inputSamples | the source data to read from. This must contain at least (speedRatio * numOutputSamplesToProduce) samples. |
outputSamples | the buffer to write the results to - the result values will be added to any pre-existing data in this buffer after being multiplied by the gain factor |
numOutputSamplesToProduce | the number of output samples that should be created |
gain | a gain factor to multiply the resulting samples by before adding them to the destination buffer |
- Returns
- the actual number of input samples that were used
◆ processAdding() [2/2]
template<class InterpolatorTraits , int memorySize>
int GenericInterpolator< InterpolatorTraits, memorySize >::processAdding |
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double | speedRatio, |
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const float * | inputSamples, |
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float * | outputSamples, |
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int | numOutputSamplesToProduce, |
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int | numInputSamplesAvailable, |
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int | wrapAround, |
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float | gain ) |
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noexcept |
Resamples a stream of samples, adding the results to the output data with a gain.
- Parameters
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speedRatio | the number of input samples to use for each output sample |
inputSamples | the source data to read from. This must contain at least (speedRatio * numOutputSamplesToProduce) samples. |
outputSamples | the buffer to write the results to - the result values will be added to any pre-existing data in this buffer after being multiplied by the gain factor |
numOutputSamplesToProduce | the number of output samples that should be created |
numInputSamplesAvailable | the number of available input samples. If it needs more samples than available, it either wraps back for wrapAround samples, or it feeds zeroes |
wrapAround | if the stream exceeds available samples, it wraps back for wrapAround samples. If wrapAround is set to 0, it will feed zeroes. |
gain | a gain factor to multiply the resulting samples by before adding them to the destination buffer |
- Returns
- the actual number of input samples that were used
The documentation for this class was generated from the following file: