transform_convolve_with_fir() [1/2]

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 Parameters

DataType

OperationReadyData type

Parameters

input	Input data - WILL BE MODIFIED
impulse_response	Impulse response for convolution

Returns

Convolved data

Definition at line 79 of file ConvolutionHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::extract_structured_double(input);
 
    for (auto& span : target_data) {
        auto fir_filter = std::make_shared<Nodes::Filters::FIR>(nullptr, impulse_response);
        std::vector<double> output;
        output.reserve(span.size());
        for (double sample : span) {
            output.push_back(fir_filter->process_sample(sample));
        }
        std::copy(output.begin(), output.end(), span.begin());
    }
 
    auto reconstructed_data = target_data
        | std::views::transform([](const auto& span) {
              return std::vector<double>(span.begin(), span.end());
          })
        | std::ranges::to<std::vector>();
 
    return OperationHelper::reconstruct_from_double<DataType>(reconstructed_data, structure_info);
}

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

Here is the call graph for this function: