Use unsupervised and supervised learning to predict stocks

PyWavelets - Wavelet Transforms in Python

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

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.

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

python_wavelet_digital_watermarking

Wavelet-based ECG delineator library implemented in python

The Haar wavelet-based perceptual similarity index (HaarPSI) is a similarity measure for images that aims to correctly assess the perceptual similarity between two images with respect to a human viewer.

SJTU CS386 Digital Image Processing

Time-scale phase-weighted stack software for seismic signal denoising

Recovery of images from few pixels

A dockerized prediction API for crypto.

Fast Bayesian Hidden Markov Model with Wavelet Compression

Joint Estimation of Frequency, Amplitude and Spectrum

Audio Watermarking by DWT-SVD

Numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University for analysing real-life time-series.

An implementation of the stationary wavelet packet transform on top of PyWavelets

Team <kaws> solution for the NTIRE2020 extreme super-resolution challenge

This is a reverse algorithem for GCV method that removes the signal and keep the background noise

Near-real-time analysis of episodic ultradian events in body temperature profiles

Synchrosqueezing Toolbox ported to Python

This repository contains MATLAB scripts and sample data for applying denoising method presented in: "Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data"

This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding"

Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.

Voice Activity Detection in audio signals using 2 wavelet-based methods (Matlab)

Wavelet transforms and non-Gaussian segmentation

Spectral analysis tools for neuroscience data

Python package of wavelet transform with new features

Wavelet Denoising.