dspk-ops 0.0.5

Signal-processing operations for dspk, written once in CubeCL: filters, resampling, linear algebra, statistics, peak finding, spatial operators
Documentation 
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//! Operators that mix channels: each output channel is a weighted sum of input channels.
//!
//! - [`car`]: common average and common median reference (subtract the mean or the median over
//!   channels at every sample).
//! - [`SpatialWhitening`]: ZCA whitening, global or over each channel's nearest contacts.
//! - [`SurfaceLaplacian`]: each channel minus the (distance-weighted) mean of its neighbours (HD-EMG,
//!   ECoG grids).
//! - [`sparse`]: the `[channels, channels]` matrix behind whitening and the Laplacian, applied dense
//!   or as sparse rows (CAR has its own single-pass kernel).

pub mod car;
pub mod kernels;
pub mod laplacian;
pub mod sparse;
pub mod whitening;

pub use car::{
    common_median_bitonic_kernel, common_median_kernel, direct_car_kernel, execute_common_median, execute_common_median_with,
    execute_direct_car, execute_direct_car_with, CarKernel, CmrKernel,
};
pub use laplacian::SurfaceLaplacian;
pub use sparse::{execute_sparse_rows_multiply, execute_spatial_matrix_multiply, DeviceSpatialMatrix, SparseRows, SPARSE_MAX_ROW_FILL};
pub use whitening::{SpatialWhitening, DEFAULT_WHITENING_EPSILON, MIN_WHITENING_EPSILON};