MATLAB Wavelet Toolbox
The MATLAB Wavelet Toolbox provides comprehensive functionality with user-friendly implementation for advanced signal and image processing.
Explore MATLAB source code curated for "小波工具箱" with clean implementations, documentation, and examples.
The MATLAB Wavelet Toolbox provides comprehensive functionality with user-friendly implementation for advanced signal and image processing.
This file contains MATLAB-based wavelet transform source code developed without using MATLAB's Wavelet Toolbox, providing a foundational implementation for signal decomposition and analysis.
Implementation of short-term load forecasting by leveraging MATLAB's Wavelet Toolbox for signal decomposition and Neural Network Toolbox for pattern recognition and predictive modeling
MATLAB Wavelet Toolbox - Comprehensive wavelet analysis toolkit featuring basic wavelet transforms and reference book-aligned implementations
Implementation of signal singularity detection leveraging MATLAB's wavelet toolbox with wavelet transform algorithms and modulus maxima analysis
Wavelet Toolbox Application Fundamentals: 16.1 1D Wavelet Analysis Applications (395) 16.1.1 Wavelet Decomposition in General Signal Analysis (395) - Implementation using wavedec() function with multi-level decomposition 16.1.2 Wavelet Transform in Signal Feature Detection (411) - Feature extraction using cwt() for continuous wavelet transform 16.2 2D Wavelet Analysis Applications (417) 16.2.1 Wavelet Analysis in Image Smoothing (417) - Denoising with dwt2() and thresholding techniques 16.2.2 Wavelet Analysis in Image Enhancement (418) - Contrast improvement using wavelet coefficient manipulation 16.2.3 Wavelet Analysis in Image Fusion (420) - Multi-resolution fusion with wfusimg() function 16.3 Wavelet Packet Analysis Applications (422) 16.3.1 Wavelet Packets in Signal Time-Frequency Analysis (423) - wpdec() for detailed frequency band decomposition 16.3.2 Wavelet Packets in Image Edge Detection (429) - Edge detection using wavelet packet energy features
Color digital image watermarking technology based on MATLAB Wavelet Toolbox implementation
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.