Module functions 

Auto-generated module

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Functions

apply_threshold

Apply thresholding to a coefficient vector.

bayes_shrink_denoise

Denoise using BayesShrink (adaptive, level-dependent threshold).

bayes_shrink_threshold

Compute the BayesShrink adaptive threshold for each level.

best_basis_selection

Select best basis from wavelet packet tree using minimum entropy criterion.

compression_ratio

Compute the compression ratio (fraction of non-zero coefficients).

cone_of_influence

Compute the cone of influence for CWT.

convolve_downsample

Convolve signal with filter and downsample by 2 (periodic extension).

cwt

Compute the continuous wavelet transform.

deselect_subtree

Recursively deselect a subtree rooted at (level, position).

detect_ridges

Detect ridges in a CWT scalogram (local maxima along scale axis).

dwt

Perform multi-level forward DWT decomposition.

dwt_single

Perform a single-level forward DWT.

energy_distribution

Compute energy distribution across all DWT levels.

estimate_noise_sigma

Estimate noise standard deviation from the finest detail coefficients.

frequency_to_scale

Convert frequency to CWT scale.

global_wavelet_spectrum

Compute the global wavelet spectrum (time-averaged energy at each scale).

icwt

Compute the inverse CWT using the Morlet reconstruction formula.

idwt

Perform multi-level inverse DWT reconstruction.

idwt_single

Perform a single-level inverse DWT.

level_energy

Energy of wavelet coefficients at a given level.

linear_scales

Generate linearly spaced scales for CWT.

log_scales

Generate logarithmically spaced scales for CWT.

modwt

Compute the MODWT (non-decimated DWT with rescaled filters).

multiresolution_analysis

Perform multiresolution analysis using the given wavelet.

reconstruction_error

Compute the reconstruction error (L2 norm) between original and reconstructed signals.

reconstruction_snr

Compute the signal-to-noise ratio (SNR) of the reconstruction.

relative_energy

Compute the relative energy (percentage) at each level.

scale_to_frequency

Convert CWT scale to approximate pseudo-frequency.

scalogram

Compute the scalogram from a CWT result.

shannon_entropy

Compute Shannon entropy of a coefficient vector (normalized).

swt

Perform a stationary wavelet transform (SWT).

universal_threshold

Compute the universal (VisuShrink) threshold.

upsample_convolve

Upsample by 2 (zero-insertion) and convolve with filter (periodic extension).

wavelet_coherence

Compute wavelet coherence between two signals.

wavelet_compress

Compress a signal by keeping only the top fraction of wavelet coefficients.

wavelet_cross_spectrum

Compute wavelet cross-spectrum between two CWT results.

wavelet_denoise

Denoise a signal using wavelet thresholding.

wavelet_entropy

Compute the wavelet entropy (measure of signal complexity).

wavelet_features

Compute wavelet-based signal features for classification/analysis.

wavelet_packet_decompose

Perform wavelet packet decomposition.

wavelet_power

Compute instantaneous wavelet power at each (scale, time) point.

wavelet_variance

Compute wavelet variance (energy per scale, normalized by signal length).