Stars
optic speckle simulation and analysis
This repository contains code used for the fly brain activity experiments
Compressed Sensing and Sparse Recovery Algorithms and more!
This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.
Determining high-accuracy random phase-only masks for complex local modulation of light fields
MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020.
A software library for solving phase retrieval problems, and comparing phase retrieval methods.
Matlab implementations of Laguerre-Gaussian Vortex Beams
C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms
A couple of simple compressed sensing examples, based on examples from the notes of the excellent Computational Methods for Data Analysis course on Coursera taught by Nathan Kutz.
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
Sparse modeling and Compressive sensing in Python
Collection of reproducible deep learning for compressive sensing
A MATLAB library for sparse representation problems
Collection of greedy algorithms for sparse recovery.
Compressive Sensing using Sparse Dictionary Learning
Image compression using compressed sensing.
A C++ implementation of orthogonal matching pursuit.
A python code to simulate the behaviour of a Ghost Imaging experimental setup.
Ghost imaging and computational ghost imaging
Multi-resolution approximate message passing algorithm for multi-resolution compressed sensing problem
Bayesian Compressive Sensing and Multi-task Compressive Sensing