transform_convolve_with_fir() [2/2]

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 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 112 of file ConvolutionHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::setup_operation_buffer(input, working_buffer);
 
    working_buffer.clear();
    working_buffer.resize(target_data.size());
 
    for (size_t i = 0; i < target_data.size(); ++i) {
        auto fir_filter = std::make_shared<Nodes::Filters::FIR>(nullptr, impulse_response);
        working_buffer[i].reserve(target_data[i].size());
        for (double sample : target_data[i]) {
            working_buffer[i].push_back(fir_filter->process_sample(sample));
        }
    }
 
    return OperationHelper::reconstruct_from_double<DataType>(working_buffer, structure_info);
}

References MayaFlux::Yantra::OperationHelper::setup_operation_buffer().

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