transform_convolve() [2/2]

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 Parameters

DataType

OperationReadyData type

Parameters

input	Input data - will NOT be modified
impulse_response	Impulse response for convolution
working_buffer	Buffer for operations (will be resized if needed)

Returns

Convolved data

Definition at line 190 of file ConvolutionHelper.hpp.

{
    if (impulse_response.size() == 1) {
        if (std::abs(impulse_response[0] - 1.0) < 1e-15) {
            return input;
        } else {
            auto [target_data, structure_info] = OperationHelper::setup_operation_buffer(input, working_buffer);
            for (size_t i = 0; i < target_data.size(); ++i) {
                std::ranges::transform(target_data[i], working_buffer[i].begin(),
                    [gain = impulse_response[0]](double x) { return x * gain; });
            }
            return OperationHelper::reconstruct_from_double<DataType>(working_buffer, structure_info);
        }
    }
 
    auto [target_data, structure_info] = OperationHelper::setup_operation_buffer(input, working_buffer);
 
    working_buffer.clear();
    working_buffer.resize(target_data.size());
 
    auto convolution_op = [](const Eigen::VectorXcd& input_fft,
                              const Eigen::VectorXcd& kernel_fft,
                              Eigen::VectorXcd& result_fft) {
        std::ranges::transform(input_fft, kernel_fft, result_fft.begin(),
            [](const std::complex<double>& a, const std::complex<double>& b) {
                return a * b;
            });
    };
 
    for (size_t i = 0; i < target_data.size(); ++i) {
        working_buffer[i] = fft_convolve_helper(target_data[i], std::span<const double>(impulse_response), convolution_op, false);
    }
 
    return OperationHelper::reconstruct_from_double<DataType>(working_buffer, structure_info);
}

References fft_convolve_helper(), and MayaFlux::Yantra::OperationHelper::setup_operation_buffer().

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