Wavelet Packet Energy Decomposition (6-Level Decomposition)

Resource Overview

Implementation of wavelet packet energy decomposition with 6-level decomposition, providing clear reference for developing wavelet energy decomposition algorithms with MATLAB code examples and function explanations.

Detailed Documentation

The article mentions implementing wavelet packet energy decomposition (6-level decomposition) but lacks sufficient implementation details. To achieve wavelet packet energy decomposition, appropriate wavelet basis functions must be selected and signal decomposition performed. We can utilize MATLAB's Wavelet Toolbox with functions like wpdec for wavelet packet decomposition and wenergy for energy calculation. The implementation involves decomposing the signal into multiple wavelet packets using a 6-level decomposition tree structure, then computing the energy of each wavelet packet node. This process can be automated through MATLAB scripts by iterating through decomposition nodes and calculating energy ratios. The algorithm can be extended to higher decomposition levels for more detailed energy distribution analysis. By organizing the code with proper function modularization and parameter configuration, we can create a reusable reference implementation for wavelet energy decomposition that facilitates easy code adaptation and further development.