ConvolutionHelper.hpp File Reference

#include "MayaFlux/Nodes/Filters/FIR.hpp"
#include "MayaFlux/Yantra/OperationSpec/OperationHelper.hpp"
#include <unsupported/Eigen/FFT>

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Namespaces
namespace	MayaFlux
	Main namespace for the Maya Flux audio engine.
namespace	MayaFlux::Yantra

Functions
template<typename OperationFunc >
std::vector< double >	MayaFlux::Yantra::fft_convolve_helper (std::span< const double > data_span, std::span< const double > kernel, OperationFunc &&operation, bool return_full_size=true)
	Common FFT convolution helper to eliminate code duplication.
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_convolve_with_fir (DataType &input, const std::vector< double > &impulse_response)
	Direct convolution using existing FIR filter infrastructure (IN-PLACE) This leverages the existing, well-tested filter implementation.
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_convolve_with_fir (DataType &input, const std::vector< double > &impulse_response, std::vector< std::vector< double > > &working_buffer)
	Direct convolution using existing FIR filter infrastructure (OUT-OF-PLACE) This leverages the existing, well-tested filter implementation.
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_convolve (DataType &input, const std::vector< double > &impulse_response)
	Convolution transformation using existing infrastructure with C++20 ranges (IN-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_convolve (DataType &input, const std::vector< double > &impulse_response, std::vector< std::vector< double > > &working_buffer)
	Convolution transformation using existing infrastructure with C++20 ranges (OUT-OF-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_cross_correlate (DataType &input, const std::vector< double > &template_signal, bool normalize=true)
	Cross-correlation using FFT (convolution with time-reversed impulse) (IN-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_cross_correlate (DataType &input, const std::vector< double > &template_signal, bool normalize, std::vector< std::vector< double > > &working_buffer)
	Cross-correlation using FFT (convolution with time-reversed impulse) (OUT-OF-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_auto_correlate_fft (DataType &input, bool normalize=true)
	Auto-correlation using FFT (IN-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_auto_correlate_fft (DataType &input, std::vector< std::vector< double > > &working_buffer, bool normalize=true)
	Auto-correlation using FFT (OUT-OF-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_matched_filter (DataType &input, const std::vector< double > &reference_signal)
	Matched filter using cross-correlation for signal detection (IN-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_matched_filter (DataType &input, const std::vector< double > &reference_signal, std::vector< std::vector< double > > &working_buffer)
	Matched filter using cross-correlation for signal detection (OUT-OF-PLACE)
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_deconvolve (DataType &input, const std::vector< double > &impulse_to_remove, double regularization=1e-6)
	Deconvolution using frequency domain division (IN-PLACE) Useful for removing known impulse responses.
template<OperationReadyData DataType>
DataType	MayaFlux::Yantra::transform_deconvolve (DataType &input, const std::vector< double > &impulse_to_remove, double regularization, std::vector< std::vector< double > > &working_buffer)
	Deconvolution using frequency domain division (OUT-OF-PLACE) Useful for removing known impulse responses.