Wavelet Packet Transform for Signal Analysis

This MATLAB application implements wavelet packet transform for advanced signal analysis, extracting feature vectors and power spectra across different frequency components from two input signals. The program employs wavelet packet decomposition algorithms to achieve finer frequency resolution compared to conventional wavelet transforms. Key functions include wavelet packet tree construction using wpdec, detailed coefficient extraction via wprcoef, and energy calculation for each frequency band. The implementation features complete signal processing workflow including signal preprocessing, wavelet packet decomposition up to optimal level, node energy computation, and feature vector normalization. This robust application serves as a valuable tool in signal processing research, providing detailed insights into signal characteristics through multi-resolution analysis. The code structure allows for customization of wavelet types (e.g., db4, sym8) and decomposition levels based on specific application requirements.