Liu-mn

HNHOTV_OGS

Hybrid higher order non-convex total variation with overlapping group sparsity image denoising

MyRPCFromZero

从零开始，手写一个RPC，任何人都能看懂

App_for_lungs_reconstruction

ISTA

Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems

Orthogonal-Clustering

A Bayesian method which utilises the rich structure embedded in the sensing matrix for fast sparse signal recovery

SLRpackage_AcceleratedCV_matlab

Sparse linear regression package with accelerated cross-validation. L_1, SCAD, MCP penalties are covered. The algorithm for optimization is cyclic coordinate descent.

NHTP

This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear complementarity problems and so on.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

code

optimized_ps

Matlab demo for our JMIV paper "Optimisation of classic photometric stereo by non-convex variational minimisation"

SpESO

Energy spectrum estimation of turbulence signals by compressive sampling (compressed sensing)

matconvnet

MatConvNet: CNNs for MATLAB

Tensor_Compressed_Sensing

The Demo of Caiafa's paper: Multidimensional compressed sensing and their applications. Because we can not open MEGA in P. R. China, the copy of matlab code is pushed to GitHub.

FIMA

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems (TPAMI 2019)

GreedyMethods

Code to reproduce the results presented in the work "Efficient First-order Methods for Convex Minimization: a Constructive Approach" (in Mathematical Programming series A) by Y. Drori and A. Taylor.

PWLS-ULTRA-for-Low-Dose-3D-CT-Image-Reconstruction

mirt

Michigan Image Reconstruction Toolbox (MIRT) - Matlab version

OBA

A Second-Order Method for Convex L1-Regularized Optimization with Active-Set Prediction

Greedy-Algorithms-for-Hybrid-Compressed-Sensing

PEIP

MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems

GlobalBioIm

A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging

RegularizedTauEstimator

Reproducible Research material for : A new robust and ifficient estimator for ill-conditioned linear inverse problems with outliers.

MELTail

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

GBP_noisy_linear_systems

Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.

Distributed-Compressive-Sensing-A-Deep-Learning-Approach

Distributed Compressive Sensing: A Deep Learning Approach

CS_MoCo_LAB

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

REDAEP

REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction

AdaESPGL

Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"

IEEE_TGRS_SeCoDe

Matlab code of the TGRS paper entitled "Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing".

Coursera-Deep-Learning-deeplearning.ai

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习