C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.

Javascript port of the CCWT library (Complex continuous wavelet transformation)

A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet.

Recognize events in signals using the Continuous Wavelet Transform

Fast constant-Q Morlet filter banks in PyTorch: scalable time-frequency analysis on CPU and GPU

The Fortran codes for fast implementation of the Continuous Wavelet Transform of the 1D signals

Files for wavelet cource in university.

Python wrappers of the FortranCWT codes created with f2py

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

Ricker (Mexican Hat) Wavelet CWT library for C++, adapted from PyWavelets.

Advanced ML pipeline that detects gravitational wave signals in LIGO noise data through continuous wavelet transform preprocessing and LSTM autoencoder anomaly detection. Validated on H1-O4 run detector data with strong performance metrics.

This repo provides code for detecting point sources on a sphere (i.e., the sky) by applying the continuous wavelet transform on raw count data. We use this tool to detect faint gamma-ray point sources from Fermi-LAT. See my skysearch repo for a pipeline.

Application of Signal Processing techniques and Continuous Wavelet Transform (CWT) using Machine Learning

Implementation of algorithms for simulating gene expression and translation in order to investigate about NF-kB model in colon cancer cells.

The codes for computing the scale-dependent peak height function and the scale-dependent valley depth function of the cosmic-log density field.

Rolling-bearing fault diagnosis via deep transfer learning: CWT time-frequency images + frozen ImageNet CNNs (DenseNet201/ResNet152V2/MobileNetV2) + ML/DL classifiers. Official implementation, IEEE ICSPIS 2021.

A Streamlit app for CWT & FFT signal analysis with PCG feature detection, built entirely from scratch.

Experimental PyTorch workflows for classifying knee vibroarthrography signals using time-frequency images and CNN/ResNet models.

[Personal Research Side Project] - Project: Deployed app which detected various types of noise using continuous wavelet transform

Pipeline for finding point sources in Fermi-LAT data with the continuous wavelet transform. For a tutorial that describes how this code works, see the allsky-point-source-detection repo.