Wavelet Analysis Implementation in MATLAB Code
Wavelet analysis, wavelet energy spectrum analysis, and signal analysis and processing techniques with MATLAB implementation details
Adaptive Noise Filtering Techniques with Code Implementation
These 7 source code examples demonstrate various adaptive noise filtering techniques, including wavelet analysis, LMS (Least Mean Squares), RLS (Recursive Least Squares), NLMS (Normalized LMS) adaptive filters, feedforward neural networks, and BP (Backpropagation) neural network-based noise cancellation algorithms with practical implementation details.
Wavelet Analysis for Signal Processing 1) Computing Wavelet Transform of Signals
Signal Processing Wavelet Analysis: 1) Calculate wavelet transform of signals with implementation using Python's PyWavelets or MATLAB's wavelet toolbox. 2) Extract modulus maxima curves through multi-scale wavelet coefficient analysis. 3) Compute Lipschitz exponents for two singular points using wavelet transform modulus maxima (WTMM) method to characterize local signal regularity.
Detection and Analysis of Signal Singularities Using Wavelet Analysis with DB Wavelet Decomposition and Reconstruction
Implementation of wavelet analysis for detecting and analyzing signal singularities using MATLAB, featuring DB wavelet decomposition and reconstruction techniques with code examples
MATLAB Code Implementation for Wavelet Analysis
MATLAB source code for wavelet analysis using the Mexican Hat wavelet function, featuring signal decomposition capabilities.
Wavelet Neural Networks: Integrating Wavelet Analysis with Neural Network Architectures
Wavelet Neural Networks combine wavelet analysis with neural networks by replacing traditional activation functions with wavelet basis functions, creating hybrid models for improved signal processing capabilities.
Wavelet Analysis Theory and MATLAB R2007 Implementation
Wavelet Transform Source Code Collection - Complete source code from Ge Zhexue's book "Wavelet Analysis Theory and MATLAB R2007 Implementation". Contains extensive examples and typical applications with practical code implementations covering key wavelet algorithms and MATLAB functions. Ideal resource for wavelet beginners and applied engineers looking to understand wavelet decomposition, reconstruction, and applications through working code examples.
Integration of Wavelet Analysis and Neural Networks
Implementation of integrated wavelet analysis and neural networks, exploring the wavelet neural network as a novel architecture with key algorithmic components and layered processing capabilities.
Wavelet Analysis Textbook Examples with Source Code
Source code implementations for wavelet analysis textbook examples, designed for beginners. The programs are concise yet comprehensive, featuring clear algorithm implementations and practical function demonstrations.
MATLAB Wavelet Analysis Source Code Simulation Program
A MATLAB-based wavelet analysis source code simulation program demonstrating signal processing workflow