Matlab Wavelet Analysis Toolbox User Guide
Wavelet analysis is a powerful tool for signal processing and data analysis, and it has been widely used in many fields. In Matlab, a powerful wavelet analysis toolbox (Wavelet Toolbox) is provided, which provides a wealth of functions and tools for wavelet transformation, wavelet reconstruction, wavelet compression and other operations. This article will introduce how to use the Matlab wavelet analysis toolbox to perform basic wavelet analysis.
1. Preparation
First, make sure you have installed the Matlab Wavelet Analysis Toolbox. Enter the following command in the Matlab command window to check whether the toolbox has been installed:
ver
If you see Wavelet Toolbox included in the output, the toolbox has been installed successfully.
2. Basics of wavelet analysis
The core of wavelet analysis is the wavelet transform, which decomposes the signal into wavelet components of different scales (frequency). In Matlab, waveletfunctions are used to create wavelet objects and wavedecfunctions are used to perform wavelet decomposition. Here's an example:
% 创建小波对象
wname = 'db4'; % 选择小波基函数（例如：Daubechies 4小波）
w &#