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.