nonlinear dynamics

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.)

说明：  直接减压到matlab\work目录下就可以看到运行结果了，其中包括了位平面分解，量化嵌入（提取），图像的金字塔分解等的程序块。(decompression directly to the Matlab \ work on the directory can see the results, which included a bit plane decomposition, quantification embedded (extraction), the image of the pyramid decomposition of the block.)

小波神经网络在变压器故障诊断中的应用，介绍一种小波神经网络诊断变压器故障的新方法 好文章大家一起分享(Wavelet neural network in fault diagnosis of transformer applications, introduced a wavelet neural network of the new transformer fault diagnosis method of a good article to share)

用matlab编程实现了ridgelet多尺度变换，实现了图像的解析，重构，压缩等功能(Ridgelet with matlab programming a multi-scale transformation to achieve the image resolution, reconstruction, compression and other functions)

用MATLAB编写的利用小波变换对多聚焦图像的融合。(The fusion of multi focus images with wavelet transform is written in MATLAB.)

提升小波变换程序， %LWT Lifting wavelet decomposition 1-D. % LWT performs a 1-D lifting wavelet decomposition % with respect to a particular lifted wavelet that you specify.(lifting wavelet transform procedures% Local Walsh Transform Lifting wavelet decomposition 1-D. % Local Walsh Transform performs a 1-D lifting wavelet decomposition% with respect to a particular lifted wavelet that you specify.)

近10种matlab基于小波变换的图像处理程序！ （M文件）(nearly 10 species of Matlab based on wavelet transform image processing procedures. (M))

FMCW调频连续波雷达的测距测角，可以得到很精确的幅值、频率、相位估计，有小波分析的盲信号处理。( FMCW frequency modulated continuous wave radar range and angular measurements, You can get a very accurate amplitude, frequency, phase estimation, There Wavelet Analysis Blind Signal Processing.)

利用小波变换对图像去噪，可以运行，并附有详细的说明，本人编写，感觉不错！欢迎共享.(Using Wavelet Transform for Image Denoising, you can run, together with detailed instructions, I prepared, I feel good! Welcome to share.)

提升小波包学习资料，对了解学习提升小波包，研究算法的改进很有帮助(Lifting wavelet package learning materials, learning to enhance the understanding of wavelet packet of helpful Algorithm)