Demonstration of Adaptive Kernel Distribution Time-Frequency Analysis

This program serves as a demonstration of adaptive kernel distribution (AKD) for time-frequency analysis of signals. The implementation consists of a MATLAB-developed main application interface that integrates high-performance C++ core algorithms. Time-frequency analysis is a method used to study signal characteristics across both temporal and spectral domains. Through time-frequency analysis, we can better understand frequency variations and time-domain features of signals. This program provides an intuitive approach to observe signal transformations in the time-frequency plane, applicable across various domains including communications, audio processing, and biomedical engineering. The C++ implementation handles computationally intensive kernel adaptation processes, while MATLAB facilitates data visualization and user interaction. Key algorithmic components include dynamic kernel optimization based on signal properties and efficient spectral computation methods. We hope this demonstration helps users better understand and apply time-frequency analysis techniques in practical scenarios.