Explore MATLAB source code curated for "小波分析" with clean implementations, documentation, and examples.
Analysis of rolling bearing outer race fault frequency through wavelet denoising and envelope transformation, with experimental data sourced from Case Western Reserve University. Includes implementation approaches for feature extraction algorithms.
Wavelet analysis-based signal energy feature extraction method for pattern recognition, with MATLAB source code implementation including decomposition, energy calculation, and feature vector construction algorithms
Wavelet analysis and wavelet energy spectrum analysis techniques for signal processing and analysis. Implementation covers signal decomposition, frequency-energy characterization, and practical MATLAB applications using wavelet toolbox functions.
This is a course design project implementing an ECG signal wavelet analysis demonstration system using MATLAB, utilizing raw data collected from MIT databases with significant educational value for signal processing studies.
Complete MATLAB wavelet analysis source code with practical case studies, featuring chapter-by-chapter implementations from the book. Includes: wavelet toolbox usage, signal processing via wavelet transforms, applications in fault diagnosis/biomedical/image processing, wavelet matrix solutions, lifting wavelet transforms with implementations, multi-signal wavelet analysis, and VC environment integration with wavelet toolbox.
Implementation of infrared and visible image fusion based on wavelet analysis theory with algorithm explanation and implementation approach
A wavelet analysis program for vibration signal analysis featuring practical implementation with MATLAB's Wavelet Toolbox functions
Some applications of wavelet analysis from my graduation thesis research, though I have since moved away from this field to focus on other challenging and interesting topics
Explore wavelet analysis theory and its implementation in MATLAB 7, featuring twice-lifted wavelet programs and detailed explanations of MATLAB 7's new capabilities. Includes code implementation strategies for enhanced signal processing applications.
This toolkit provides the most comprehensive collection of image processing and wavelet analysis tools; simply extract the package and integrate it into your MATLAB environment for immediate use.