Statistical Machine Intelligence & Learning Engine

1D Density Estimation with the Haar Wavelet. Application is to separate point sources from a background distribution.

This repo provides code for detecting point sources on a sphere (i.e., the sky) by applying the continuous wavelet transform on raw count data. We use this tool to detect faint gamma-ray point sources from Fermi-LAT. See my skysearch repo for a pipeline.

Cross-platform .NET library for digital signal processing. Fast and optimized

The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software

Wavelet video codec in less than 5000 lines of C. Comparable to MPEG-1/MPEG-2 in terms of efficiency and quality.

Rust-lang Continuous Wavelet Transform(CWT) library inspired by fCWT.

Discrete Wavelet Transform (DWT) Based Lossless Image Compression with Bitstream Truncation Support

Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping

Audio Spectrum Analyzer using Fourier- and Wavelet-Transformation

A refactored port and code rebuilt of JWave - Discrete Fourier Transform (DFT), Fast Wavelet Transform (FWT), Wavelet Packet Transform (WPT), some Shifting Wavelet Transform (SWT) by using orthogonal (orthonormal) wavelets like Haar, Daubechie, Coiflet, and other normalized bi-orthogonal wavelets.

A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.

Differentiable fast wavelet transforms in PyTorch with GPU support.

Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.

Learn Wavelets, and how to use them

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

MelScalogram is a Python class that leverages continuous wavelet transforms and the Mel scale for enhanced audio signal analysis and visualization.

Complex Continuous Wavelet Transform

A Julia package for fast discrete wavelet transforms and utilities

WSDR’s documentation