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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
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
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
Write WebAssembly smart contracts for Wavelet in Rust.
Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.
source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)
A wavelet audio denoiser done in python
Wavelet CNN, Texture Classification in Keras
Cross-platform .NET library for digital signal processing. Fast and optimized