Highly Classic Wavelet Packet Decomposition

This is an exceptionally classic wavelet packet decomposition program, primarily utilized for singularity detection in signal analysis. The implementation enables efficient signal processing through wavelet packet transforms, which decompose signals into both high-frequency and low-frequency components for detailed time-frequency analysis. Key algorithms include multi-level decomposition trees and energy-based node selection for optimal feature extraction. The program comes with comprehensive graphical illustrations demonstrating decomposition levels, reconstructed signals, and detected singularity points. These visual aids help users better understand the transformation process and practical applications in noise reduction or fault detection scenarios. If you are interested in signal processing and wavelet packet techniques, this tool serves as an indispensable resource for research and development. This brief description aims to highlight the program's significance and value in advanced signal analysis workflows.