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.