seg22

说明：  小波(Wavelet)这一术语，顾名思义，“小波”就是小的波形。所谓“小”是指它具有衰减性；而称之为“波”则是指它的波动性，其振幅正负相间的震荡形式。与Fourier变换相比，小波变换是时间(空间)频率的局部化分析，它通过伸缩平移运算对信号(函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了Fourier变换的困难问题，成为继Fourier变换以来在科学方法上的重大突破。有人把小波变换称为“数学显微镜”。 这套讲义生动详实的快速带领初学者掌握小波的基本要点，是不可多得的好材料！(This is a handbook about Wavelet.)

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)

小波包和EMD方法对信号分析后的频谱图比较，可以对EMD的运行参数进行修改。(Spectrum comparison of Wavelet package and EMD)

一篇关于小波变换和希尔伯特变换的文章，处理的是无功功率。小波变换代码和希尔伯特变化代码(A Wavelet transform and Hilbert transform article, dealing with reactive power.Wavelet transform and Hilbert transform code)

matlab的小波变换源代码 可以用来做图像分析，融合 (Matlab wavelet transform source code can be used for image analysis, fusion)

用于进行小波变换，对原始的光谱图像数据进行预处理(Used wavelet transform, the original spectral image data preprocessing)

实现小波变换中mallat算法的完整matlab程序文件，可进行三级分解与重建(Implementation of wavelet transform algorithm Mallat)

matlab实现的多相滤波器，cic抽取D=5时例子，及级联型的cic的程序。(matlab implementation of the polyphase filter, cic examples taken D = 5 时, and the cascade of cic procedures.)

本文研究的是利用奇异性指数实现对设备状态监视和故障预警功能。首先用LabVIEW 采集传感器电信号，然后对采集到的电信 号进行小波变换得到信号包络奇异点的奇异性指数，即设备运行状态的特征值(In this research project, we use LabVIEW to do wavelet-transformation to the signal collected by sensors in order to get singularity index from the singular points of the particular signal’s envelope. Through comparing this eigenvalue to the figures in a standard database, we can know the functional status of the instruments. Not only the diagnoses are continuously displayed, but alarms about signs of dysfunction will also be raised in a proper way. In other words, both the supervision of the instrument and warning of dysfunction can be achieved)

详细的基于离散小波变换的图像融合matlab程序,可以用于处理任何格式的灰度图像(Detailed based on discrete wavelet transform image fusion matlab procedures, can be used to deal with any format of the gray image)