This repository includes useful MATLAB codes for ENG analysis.

Differentiable fast wavelet transforms in PyTorch with GPU support.

A library for audio and music analysis, feature extraction.

A PyTorch-based package built for graph signal processing(especially critical-sampling graph wavelet analysis).

Computational Methods in Chemical Engineering (UMass Lowell, Spring 2024); Prof. Valmor F. de Almeida.

Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.

Wavelet Scattering Transform applied for Geo Sciences.

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.

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.

TinyML project for analyzing accelerometer and gyroscope signals and classifying possible falls in real time using a microcontroller

Final project for Signal Processing course that focuses on Parkinson's Disease detection.

The Python module that used to measure the environment-dependent Wavelet Power Spectrum (env-WPS) of the cosmic density field.

Circadian rhythm nadirs inference using continuous wave transforms on non invasive core body temperature

Predicting future stock price using wavelet denoising and neural network (Long-Short Term Memory)

Octave/Matlab code from my diploma thesis

The gmwmx R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX)

Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs

Wavelets with JAX

Removing foregrounds from the CMB (Cosmic Microwave Background) radiation maps of the universe from the PLANCK and WMAP satellite missions.