An efficient modwt wavelets package. This isn't the usual discrete wavelet transform found in, for example, the gsl but an extended set of algorithms designed to overcome some problems with the usual discrete wavelet transform.

Estimation of Hurst parameter of a fractional Gaussian noise on the basis of the modified Whittle maximum likelihood estimator in presence of outliers or an additive noise

Python multiresolution image querying implementation

Digital Image Processing Projects

Analysis of various climatological times series using Continuous Wavelets Transform

R package to implement 2D wavelet decompositions for irregularly spaced and irregularly shaped data

Code for an Undergraduate Honors Physics thesis at University of Oregon, June 2017. Contains methods for performing wavelet analyses on a Northeastern US climate data set.

Image Denoising using Tight-Frame with convex non-convex priors

R/c++ package to perform fast wavelet transformations in R

Implements the Sigma Transform in C++

EKG Analysis code for the MI3 intern group at CHOC Children's

Msc Graduation Project on Scattering Networks. Report (In French), Python and Matlab Source Code.

Wavelet analysis of neuromorphic camera data values, reading from CSV files

Python implementation of papers on emergency vehicle detection using audio signals

Content Based Image Retrieval System using Wavelets

Fast Bayesian Hidden Markov Model with Wavelet Compression

Wavelet Transform Toolkit (WTT)

Machine Learning algorithms implemented from scratch

Wavelets with adaptive recursive partitioning