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小波变换在故障诊断中的应用 441 18.1 引言 441 18.2 基本原理 442 18.3 小波变换在轴承故障诊断中的应用 444 18.3.1 轴承外环故障诊断 444 18.3.2 轴承滚动体故障诊断 448 18.4 小波变换在齿轮故障诊断中的应用 450 18.5 小波包在轴承故障诊断中的应用 452 18.5.1 轴承外环故障诊断 453 18.5.2 轴承滚动体故障诊断 454(wavelet transform fault diagnosis of Introduction 441 18.1 441 18.2 442 basic tenets 18.3 wavelet transform bearing fault diagnosis of 444 18.3.1 ring bearing 444 1 Fault Diagnosis 8.3.2 rolling bearings Fault Diagnosis 448 18.4 wavelet transform in Gear Fault Diagnosis of 450 1 8.5 wavelet packet bearing fault in the diagnosis of 452 18.5.1 ring bearing fault diagnosis 453 18. 5.2 roller bearings Fault Diagnosis 454)

多种方法（软硬阈值、自适应阈值等）进行小波去噪的matlab程序(A variety of methods (hard and soft threshold, adaptive threshold, etc.) of the matlab wavelet denoising procedures)

小波变换，反变换，以及提升小波变换，包括97小波，及53小波(Wavelet transform, inverse transform, as well as the lifting wavelet transform, including the 97 wavelet, and 53 wavelet)

基于MATLAB的虚拟实验系统 的源代码 信号与系统 典型课程的演示实验的编程 GUI(the virtual experiment system for signal processing on the matlab)

表面肌电信号的小波变换3层分解，提取特征向量(Surface EMG wavelet transform the three-layer decomposition, Feature Extraction)

小波方法进行降噪，阈值函数来完成不同设计，核心程序如下面的所示，使用的小波基有coif5，db3，sym4，bior2.4，haar，rbio(Wavelet method for noise reduction, design to complete different threshold function, the core program as shown below, using the wavelet base coif5, db3, sym4, bior2.4, haar, rbio )

使用matlab实现的BPSK信号产生和加入噪声前后的频谱对比以及FFT测频和一阶差分法测频对比(Using matlab to achieve the BPSK signal generator and adding noise before and after the spectrum contrast and FFT frequency measurement and first-order differential method to measure the frequency contrast)

基于Matlab的JPEG2000图像压缩实现，离散小波变换DWT，程序中图片的位置修改下可以自己运行程序看到效果(Matlab-based implementation of the JPEG2000 image compression, discrete wavelet transform DWT, where the image changes the program may be run its own program to see results)

基于小波变换的图像量化编解码，使用零树编码方法(based on wavelet transform quantitative image codecs, the use of zero-tree coding method)

基于小波变换的语音识别，内含毕业论文和摘要以及可执行源程序(Speech recognition based on wavelet transform, containing thesis and summary of executable source code)