transform_matrix_multichannel() [2/2]

template<OperationReadyData DataType>

DataType MayaFlux::Yantra::transform_matrix_multichannel	(	DataType &	input,
		const Eigen::MatrixXd &	transformation_matrix,
		uint32_t	num_channels,
		std::vector< std::vector< double > > &	working_buffer
	)

Multi-channel matrix transformation with error handling (OUT-OF-PLACE)

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - will NOT be modified
transformation_matrix	Matrix to apply per channel
num_channels	Number of channels
working_buffer	Buffer for operations (will be resized if needed)

Returns

Transformed data

Definition at line 519 of file MatrixHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::setup_operation_buffer(input, working_buffer);
 
    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) {
            working_buffer[channel][frame] = transformed[channel];
        }
    });
 
    return OperationHelper::reconstruct_from_double<DataType>(working_buffer, structure_info);
}

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

Here is the call graph for this function: