transform_matrix_multichannel() [1/2]

template<OperationReadyData DataType>

DataType MayaFlux::Yantra::transform_matrix_multichannel	(	DataType &	input,
		const Eigen::MatrixXd &	transformation_matrix,
		uint32_t	num_channels
	)

Multi-channel matrix transformation with error handling (IN-PLACE)

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - WILL BE MODIFIED
transformation_matrix	Matrix to apply per channel
num_channels	Number of channels

Returns

Transformed data

Definition at line 470 of file MatrixHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::extract_structured_double(input);
 
    if (transformation_matrix.rows() != num_channels || transformation_matrix.cols() != num_channels) {
        throw std::invalid_argument("Transformation matrix dimensions must match number of channels");
    }
 
    if (target_data.size() != num_channels) {
        throw std::invalid_argument("Data channel count must match specified number of channels");
    }
 
    size_t min_frames = std::ranges::min(target_data | std::views::transform([](const auto& span) { return span.size(); }));
 
    auto frame_indices = std::views::iota(size_t { 0 }, min_frames);
 
    std::ranges::for_each(frame_indices, [&](size_t frame) {
        Eigen::VectorXd frame_vector(num_channels);
 
        for (size_t channel = 0; channel < num_channels; ++channel) {
            frame_vector[channel] = target_data[channel][frame];
        }
 
        Eigen::VectorXd transformed = transformation_matrix * frame_vector;
 
        for (size_t channel = 0; channel < num_channels; ++channel) {
            target_data[channel][frame] = transformed[channel];
        }
    });
 
    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 channel, and MayaFlux::Yantra::OperationHelper::extract_structured_double().

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