Wavelet Packet Decomposition and BP Neural Network Training with Pattern Recognition Applications

Comprehensive implementation of wavelet packet decomposition and backpropagation neural network training algorithms for pattern recognition and signal analysis, featuring multi-scale feature extraction and deep learning capabilities.

Source Code for BP Neural Network Training with Algorithm Implementation

A complete BP neural network training source code implementation that manually codes the algorithm instead of using MATLAB's built-in training functions, providing deeper understanding of backpropagation mechanics and weight update processes.

Wavelet Packet Decomposition for Feature Vector Extraction from Voltage Signals

Extract feature vectors from collected voltage signals using wavelet packet decomposition followed by BP neural network training with algorithm implementation details