He Liu

CS-Recovery-Algorithms. MATLAB

A-case-of-the-intelligent-bearing-fault-diagnosis. This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out

Blind-deconvolution-based-on-the-ratio-of-cyclic-content. This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitive impacts signal in noisy vibration.

Mini-blp-lplq. The Matlab code of blind deconvolution based on criterion defined by envelope spectrum

FastCSDL. a fast convolutional sparse dictionary learning algorithm, It can be applied to long one-dimensional signal processing. It doesn't need to divide long data into small segments to speed up the algorithm. It has low memory consumption and high computational efficiency.

SF-SLSN. Sparse Filtering with Single Layer and Single Node

ncorr_2D_matlab. 2D Digital Image Correlation Matlab Software

double-sparse-coding. Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sparse Coding".