Sparse Representation Classifier (SRC) for Signal and Image Classification

A widely-used Sparse Representation Classifier (SRC) designed for signal and image classification tasks, requiring integration with the CVX optimization toolbox for proper operation. Implementation examples are available in the example.m file, demonstrating key algorithmic procedures including sparse coefficient solving and classification decision mechanisms.

Source Code for SRC Face Recognition

Sparse Representation Classifier implementation for face recognition applications, featuring well-documented function code suitable for beginners. Includes detailed algorithm explanations and practical implementation examples.