Module denoising

iron_wave::analysis

Module denoising

Expand description

Wavelet denoising for signal processing

Implements advanced thresholding techniques for noise reduction in signals, including soft/hard thresholding, SURE, and universal threshold methods.

Structs§

DenoiseConfig: Configuration for wavelet denoising

Enums§

ThresholdMethod: Thresholding methods for wavelet denoising
ThresholdRule: Threshold selection rules

Functions§

apply_threshold: Apply threshold to coefficients
compute_threshold: Compute threshold value based on selected rule
denoise: Denoise a signal using DWT
denoise_modwt: Denoise using MODWT (shift-invariant, better for non-stationary signals)
estimate_noise_mad: Estimate noise standard deviation using Median Absolute Deviation