Machine Learning algorithms implemented from scratch

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

Wavelet Transform Toolkit (WTT)

Digital Image Processing Projects

Comparison of numerous supervised machine learning classifier models (Logistic Regression, K-Nearest Neighbors, Support Vector Machines and Decision Trees) predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes. (Python 3)

External module for ITK providing Wavelet. Forked from OrfeoToolBox

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

This is the repository that contains all the data and figures used/obtained in the course project for EE 551 Wavelets and Sparse Signal Representations taught by Prof. Vishal Monga (Spring 2020)

ECE251C Final project on speech enhancement

Content-based image retrieval tool.

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

Notebook for exploring relationships between spectra and biochemical traits with wavelets.

Wavelet analysis requires two basic functions which are scaling function and details function. A wavelet system is the infinite collection of translated and scaled version of father wavelet and mother wavelet.

@Special-graphic-formats Special graphic formats

Wavelet transform helpers for GNU Octave

UML dimensionality reduction and clustering models for predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes - practical exercise. (Python 3)

Designed a machine learning model to predict the diseases from the images of chest X-Ray comprising of 14 diseases using novel approaches like mobile net, efficient net and try to build upon it using some new approaches like federated learning and wavelets based techniques.

Implementation, use and possibly a little more about Alpert multiwavelets.