K-SVD Algorithm MATLAB Implementation

MATLAB code implementation of K-SVD algorithm for creating redundant dictionaries and performing sparse image decomposition

Sparse Representation Algorithms on Overcomplete Dictionaries with K-SVD Implementation

Sparse representation algorithms on overcomplete dictionaries and K-SVD algorithm - Advanced techniques for high-dimensional data analysis with code implementation insights

An Enhanced Algorithm Based on K-SVD for Sparse Dictionary Learning

This algorithm presents an improved version of the K-SVD algorithm, designed specifically for sparse dictionary learning. It effectively reduces computational complexity and accelerates dictionary update speed compared to traditional methods. The implementation typically involves optimized sparse coding steps and efficient singular value decomposition (SVD) operations.