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图像处理中的小波变换C++源代码，含有使用文档和例子，非常全面！(image processing wavelet transform C source code, documentation and with the use of examples, very comprehensive!)

Wavelet Neural networks

基于提升格式的整数小波变换及其编解码( And its arranges based on the promotion form integer wavelet transformation decodes )

表面肌电信号的小波包局部能量分解柱状图，提取特征能量(Local energy of the surface EMG wavelet packet decomposition histogram feature extraction energy)

小波变换光谱数据预处理阈值平滑处理用于光谱数据(xiaobobianhuan yuchuli )

Matlab 二进小波变换程序，求取模极大值程序(Matlab wavelet transform into two procedures, to strike maxima procedures)

小波变换(wavelet transform，WT)是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的"时间-频率"窗口，是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间(空间)频率的局部化分析，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。(Wavelet transform (WT) is a new transform analysis method. It inherits and develops the idea of localization of short-time Fourier transform and overcomes the shortcomings that window size does not vary with frequency. It can provide a frequency-dependent The Time-Frequency window is ideal for time-frequency analysis and processing of signals. Its main feature is that by transforming some features that can fully highlight some aspects of the problem, the localization of the time (space) frequency can be analyzed, and the signal (function) can be gradually and multi-scale refined by the scaling operation, finally reaching the high frequency Time subdivision, frequency subdivision at low frequencies, can automatically adapt to the requirements of time-frequency signal analysis, which can focus on any details of the signal to solve the difficulties of Fourier transform has become a major breakthrough in the scientific method since Fourier transform.)

基于小波变换的心电信号预处理MATLAB源代码(The heart preprocessind based on wavelet transform)

MATLAB的软件包，用于小波变换，安装到自己的MATLAB工具箱中。(MATLAB software package for wavelet transform.)

可导入comtrade格式录波文件，进行谐波分析(It can import COMTRADE format recording file for harmonic analysis)