Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system

MRI reconstruction (e.g., QSM) using deep learning methods

Compressed sensing and denoising of images using sparse representations

Scalable sparse Bayesian learning for large CS recovery problems

Computational Ultrasound Imaging Toolbox for MATLAB

Image Reconstruction Using Compressive Sensing

General phase regularized MRI reconstruction using phase cycling

Plug-and-Play Magnetic Resonance Fingerprinting based Quantitative MRI Reconstruction using Deep Denoisers (Proof of Concept) (IEEE ISBI 2022)

Collection of a few Matlab scripts related to estimation techniques for underwater acoustics

Compressed sensing recovery methods

RIRIS is the MATLAB implementation of room impulse response interpolation using fast shearlet transforms.

Implemented a static compressed sensing algorithm using orthogonal matching pursuit.

Total Variation denoise utilizing Alternating Direction Method of Multiplier

Proposed to develop a low-communication cost cross-correlation method with the idea of Compressed Sensing

MATLAB implementation of Orthogonal Matching Pursuit to find the sparsest solution to a linear system of equations, via combinatorial search.

Dynamic Compressed Sensing of Periodic Unsteady Flow Fields

This repository contains assignments and their solutions provided in the course CS 754 - Advanced Image Processing in Spring 2021 at IIT Bombay

A straightforward example for reconstructing sparse signal using Basic Pursuit. The L0 norm problem is transformed into a standard Linear Programming, then solved it using the linprog function of MATLAB.

Authors' implementation for "Designing Constrained Projections for Compressed Sensing: Mean Errors and Anomalies with Coherence", IEEE GlobalSIP 2018