Signal Sparse Representation Using Basis Pursuit Algorithm
Algorithm for signal sparse representation based on basis pursuit with implementation insights and optimization approaches
Orthogonal Matching Algorithm
Applied in image compressed sensing, sparse representation, and denoising reconstruction with implementation insights
Matching Pursuit Algorithm
Matching Pursuit Algorithm, a classic sparse representation method widely used in face recognition, image classification, and image denoising, with growing popularity in modern applications.
Image Fusion Program Based on Compressed Sensing
Implementation of image fusion technology using compressed sensing algorithms with MATLAB code examples
Image Reconstruction Algorithm Based on Compressed Sensing
Image Reconstruction Algorithm Utilizing Compressed Sensing Principles with Implementation Considerations
MATLAB Implementation of KSVD Algorithm for Dictionary Learning
MATLAB code implementation of the KSVD (K-Singular Value Decomposition) algorithm with detailed explanations of sparse coding and dictionary update procedures
Facial Expression Recognition Using Compressive Sensing Algorithms
Implementation of Facial Expression Recognition through Compressive Sensing Algorithm with Gabor Feature Extraction and Sparse Reconstruction
Compressive Sampling Data Processing Methodology
Compressive Sampling Data Processing Approach with Algorithmic Implementation Insights
Implementing Matching Pursuit Algorithm
Implementation of Matching Pursuit Algorithm with Code Optimization Techniques
Compressed Sensing for 1D Signals Using OMP Reconstruction (CS_OMP)
Compressed sensing implementation for 1D signal compression and reconstruction using Orthogonal Matching Pursuit (OMP) algorithm