Explore MATLAB source code curated for "mp算法" with clean implementations, documentation, and examples.
Implementation of image sparse decomposition representation using the MP (Matching Pursuit) algorithm, fully debugged and operational. This resource provides reference code with detailed explanations of algorithm workflow, basis function selection, and coefficient calculation for learning purposes.
The Matching Pursuit (MP) algorithm achieves signal sparse decomposition using projection-based methodology, iteratively selecting dictionary atoms that best match signal residuals through orthogonal projections.
Implementation of TOA estimation using the MP (Matrix Pencil) algorithm for wireless sensor network node localization with enhanced computational efficiency
This is a verified implementation of the MP (Matching Pursuit) algorithm for compressed sensing, thoroughly tested through personal simulation with confirmed reliability.
Implementation of sparse decomposition for simple signals using the Matching Pursuit algorithm, with code-oriented explanations of the decomposition process and key algorithmic steps
An in-depth exploration of the Matching Pursuit algorithm for signal reconstruction, sparse representation, and its integration with compressive sensing technology for reduced sampling requirements
MATLAB implementation of the MP algorithm for signal reconstruction with detailed code comments and algorithm explanation
Implementation of weak sinusoidal signal detection under strong noise background using Matching Pursuit (MP) algorithm in sparse decomposition framework, thoroughly debugged and verified for correctness with detailed code implementation analysis.
A straightforward demonstration of compressed sensing theory involving sparse signal sampling followed by signal reconstruction using the Matching Pursuit (MP) algorithm. The implementation highlights key steps in sparse sampling and reconstruction techniques.
MATLAB code implementation of classical Compressed Sensing algorithms with detailed technical explanations