Explore MATLAB source code curated for "cs压缩传感" with clean implementations, documentation, and examples.
CS compressed sensing serves as a highly effective and advanced technique for signal estimation and denoising, leveraging sparse signal representations and optimization algorithms for superior performance.
This introductory teaching code demonstrates CS compressed sensing reconstruction using the Orthogonal Matching Pursuit (OMP) algorithm. The fully annotated implementation covers 1D signal and 2D image reconstruction with DCT and wavelet sparsification techniques, featuring both column-scanning and block-based OMP reconstruction methods.