Statistical Machine Intelligence & Learning Engine
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Updated
Oct 30, 2026 - Java
Statistical Machine Intelligence & Learning Engine
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
[JMLR] Differentiable fast wavelet transforms in PyTorch with GPU support.
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.
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.
A Julia package for fast discrete wavelet transforms and utilities
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Complex Continuous Wavelet Transform
[ICML 2024] This is an implementation for Streaming Wavelet Module, which sequentially apply wavelet transform to a sequence of signal efficiently.
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.
NHW : A Next-Generation Image Compression Codec
source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)
Write WebAssembly smart contracts for Wavelet in Rust.
Cross-platform .NET library for digital signal processing
Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.
A wavelet audio denoiser done in python
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