"MATLAB小波分析工具箱函数详解及应用指南"。

The chapter on Wavelet Analysis Toolbox Functions in the PowerPoint presentation covers a wide range of functions used for wavelet analysis in MATLAB. It discusses various common functions used in wavelet analysis, wavelet functions themselves, one-dimensional continuous and discrete wavelet transforms, as well as two-dimensional discrete wavelet transforms, among others. The chapter delves into different aspects of wavelet analysis, such as wavelet packet transforms, denoising and compression of signals and images, tree operation functions, lifting wavelet transforms, auxiliary functions for demonstration purposes, and image user interface functions. Furthermore, it explores additional wavelet application functions, how to add custom wavelet functions, guidance on using graphical user interfaces (GUIs) for wavelet analysis, and data input/output functions used in wavelet analysis. Each function is explained in detail, covering its algorithmic functionality, syntax format, usage instructions, and examples of how to apply it in practice. One of the functions, for example, discussed in the presentation is "biorfilt," which pertains to the use of biorthogonal wavelet filter banks. The chapter provides a comprehensive overview of the functions available in the toolbox for conducting wavelet analysis in MATLAB. Overall, the chapter on wavelet analysis toolbox functions in the PowerPoint presentation serves as a valuable resource for understanding and utilizing the various functions essential for wavelet analysis in MATLAB. By providing detailed explanations and illustrative examples, it equips users with the knowledge and tools necessary to effectively apply wavelet analysis techniques in their research or projects.