MATLAB Implementation of Independent Component Analysis (ICA) for Ear Recognition

This self-developed ICA source code implements ear recognition functionality through MATLAB. The code features a well-organized structure with clear comments, making it highly accessible for understanding the underlying Independent Component Analysis algorithm. Key components include signal preprocessing routines, optimization of separation criteria (such as maximizing non-Gaussianity), and efficient matrix operations for feature extraction. The implementation demonstrates practical applications in audio signal processing by enabling sound identification and analysis capabilities. Through this code, developers can effectively apply ear recognition techniques to enhance audio processing systems, with modular functions allowing easy integration of additional audio processing features. The algorithm employs iterative optimization methods to separate independent components from mixed audio signals, providing a foundation for advanced audio analysis applications.