Explore MATLAB source code curated for "小波分析" with clean implementations, documentation, and examples.
A collection of practical code routines extracted from wavelet analysis theory, featuring algorithm explanations and key function descriptions for technical reference and implementation guidance.
This resource presents a wavelet analysis approach for blind signal processing, complete with executable programs, waveform demonstrations, and output results. Ideal for beginners, it includes practical code examples illustrating key algorithms and signal decomposition techniques.
Speech signal processing program featuring speech decomposition/synthesis and wavelet analysis, implementing wavelet-based noise reduction with excellent results. The MATLAB code has been validated through comprehensive testing.
This repository contains the source code for "Wavelet Analysis Theory and Implementation with MATLAB R2007." The code leverages MATLAB's Wavelet Toolbox to implement wavelet basis selection, wavelet packet decomposition, Mallat transform, and applications of wavelet transforms in edge detection, image denoising, and data compression. Special emphasis is placed on second-generation lifting wavelets, bridging theory with practical implementation. Key concepts such as dyadic wavelets and quadrature mirror filter banks (QMF) are demonstrated through executable MATLAB scripts, providing hands-on experience with wavelet algorithms and filter design techniques.
Step-by-step procedures for wavelet analysis of signals including wavelet decomposition, wavelet reconstruction, and wavelet-based filtering methods with code implementation details.
This collection contains various face recognition implementations including wavelet analysis, PCA (Principal Component Analysis), LDA (Linear Discriminant Analysis), and eigenface methods with detailed algorithm explanations and code descriptions.
A comprehensive MATLAB program for wavelet analysis-based signal processing designed for fault diagnosis applications, featuring data preprocessing, multi-resolution analysis, and diagnostic visualization capabilities.
This MATLAB package provides wavelet analysis implementation for ECG signal processing. The zip file contains MATLAB script files (.m format) and ECG signal data files (.mat format) for comprehensive wavelet-based ECG analysis.
A MATLAB wavelet analysis program for bearing fault vibration signals, capable of extracting fault characteristic frequencies using multi-resolution analysis and time-frequency decomposition techniques.
MATLAB implementation of ridgelet transform for wavelet analysis, featuring image denoising, reconstruction capabilities, and accompanying research paper for reference. Includes detailed algorithm explanations and key function descriptions.