MATLAB Source Code for Assistant Wavelet Analysis and Applications

This repository contains MATLAB source code for auxiliary wavelet analysis and applications, implementing both conventional algorithms and fast algorithms commonly used in wavelet analysis. The codebase provides practical implementations of key wavelet transform techniques, including decomposition/reconstruction algorithms, filter bank designs, and multi-resolution analysis methods. Through studying and executing these code examples, you will gain comprehensive understanding of wavelet analysis principles and their practical applications. These implementations serve as valuable educational tools for both beginners and experienced practitioners, offering hands-on experience with wavelet transform concepts, algorithmic approaches, and real-world application scenarios. The code includes implementations of discrete wavelet transforms (DWT), continuous wavelet transforms (CWT), and various wavelet families (Daubechies, Haar, etc.), enabling users to apply wavelet analysis to practical problems effectively. Therefore, this source code collection represents valuable reference material for anyone studying wavelet analysis and its implementations.