Wavelet Packet Decomposition
wave: wavelet packet decomposition method for signal processing, decomposing signals into frequency components and estimating wavelet packet energy, with MATLAB implementation approaches
One-Dimensional Wavelet Decomposition with Extraction of Detail and Approximation Coefficients
In MATLAB environment, perform 1D wavelet decomposition to extract detail and approximation coefficients, plus wavelet packet decomposition for signals with implementation code examples
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.
Wavelet Packet Decomposition for Signal Analysis
Perform wavelet packet decomposition on signals to generate energy distribution maps, then process signals based on decomposition results with MATLAB implementation examples.
Wavelet Packet Decomposition with Signal Reconstruction Problem
A MATLAB program implementing wavelet packet decomposition and signal reconstruction, thoroughly tested with custom datasets
Sampling-Based Wavelet Packet Decomposition of Speech Signals
Implementing 3-level wavelet packet decomposition of speech signals and extracting decomposition coefficients using signal processing algorithms
Wavelet Packet Decomposition + Frequency Band Energy Calculation
Wavelet Packet Decomposition + Frequency Band Energy Analysis + Classification with LibSVM & Artificial Neural Networks
Wavelet Decomposition and Wavelet Packet Decomposition
1) Understand the conceptual differences and connections between wavelet decomposition and wavelet packet decomposition; 2) Learn about the decomposition and reconstruction algorithms for wavelet packets; 3) Implement signal decomposition using wavelet packets and create wavelet energy spectrum plots through MATLAB programming.
Speech Denoising Based on Wavelet Packet Decomposition
Speech denoising using wavelet packet decomposition with threshold estimation via entropy spectral probability density function to remove real-world environmental noise. The implementation involves signal decomposition, entropy-based threshold calculation, and coefficient processing for noise removal.
Wavelet Packet Decomposition and Power Spectrum Analysis of Signal Components
Performing wavelet packet decomposition on signals and calculating power spectra for each component, including implementation approaches using MATLAB's Wavelet Toolbox functions like wpdec and pwelch for accurate spectral estimation.