Statistical Machine Intelligence & Learning Engine
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Updated
Jun 1, 2024 - Java
Statistical Machine Intelligence & Learning Engine
NHW : A Next-Generation Image Compression Codec
Differentiable fast wavelet transforms in PyTorch with GPU support.
Wavelet video codec in less than 5000 lines of C. Comparable to MPEG-1/MPEG-2 in terms of efficiency and quality.
Discrete Wavelet Transform (DWT) Based Lossless Image Compression with Bitstream Truncation Support
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
Rust-lang Continuous Wavelet Transform(CWT) library inspired by fCWT.
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
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.
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
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