小波变换实现源码，小波学习的必备参考，请大家分享

ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

一种可实际应用的基于小波分析的数字水印方法。已通过验证。-A practical application of wavelet analysis based on digital watermarking methods. Has been verified.

小波分析软件包Index of /software/RWT- Wavelet analysis software package Index of /software/RWT

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二维小波分析对图像处理的应用-wavelet analysis of 2D image processing applications

Contourlet变换的实现源码。相关理论可参考:Do M N, Vetterli M. "The contourlet transform: an efficient directional multiresolution image representation" [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.-Transform realize Contourlet source. Relevant theory may refer to: Do MN, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.

基于小波变换的方法采用sym20小波对信号进行谐波分析。-Based on Wavelet Transform Methods sym20 harmonic wavelet analysis of signals.

小波分解与合成，嵌入式编码与解码程序，用于语音和图像压缩-Wavelet decomposition and synthesis, embedded encoding and decoding procedures for voice and image compression

这是自己编的一个用于检验形心的代码，希望对大家有用，欢迎下载-This is an own centroid for testing code, I hope useful for all of us are welcome to download

小波十讲，极经典的小波教程，完全中文，是学习小波理论的权威及入门的良好教程。读者一定会从中获益匪浅。-Ten Lectures on Wavelet, Wavelet Tutorial very classic, completely in Chinese, is to learn from the authority of wavelet theory and the entry of good tutorials. Readers will certainly benefit from them.