Explore MATLAB source code curated for "稀疏分解" with clean implementations, documentation, and examples.
A sparse decomposition image reconstruction program that partitions images into multiple patches, reconstructs each sub-patch with edge processing, and then merges them into a complete image. This approach utilizes patch-based sparse coding algorithms for enhanced reconstruction quality.
Implementation of matching pursuit algorithm for sparse decomposition of radar signals to obtain their sparse representations
This algorithm proposes an innovative DOA estimation method based on Orthogonal Matching Pursuit (OMP) framework, utilizing the uncorrelated nature between array manifold vectors for matching pursuit selection to identify the manifold closest to actual source positions.
MATLAB implementation of matching pursuit algorithm - a signal sparse decomposition method using overcomplete dictionaries, featuring matchingpursuit.m function with iterative approximation approach for signal compression and denoising applications.
Optimized search algorithm for sparse decomposition, copyrighted by Patrick S. Huggins and Steven W. Zucker (Yale University)
An Improved Sparse Decomposition Algorithm Optimized with Genetic Algorithm for Global Optimization
MATLAB-based implementation of a sparse decomposition toolkit featuring Orthogonal Matching Pursuit (OMP) algorithm with customizable dictionaries for signal processing applications