Maximum Shannon information entropy的图像分割，是结合概率统计的方法进行的分割，理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can

结合小波变换和香农定理，介绍了小波时间熵算法，并引用于信号异常检测中-Wavelet transform and the Shannon theorem, introduced the wavelet time entropy algorithm, and applied Signal Anomaly Detection

基于VC++和Matlab实现的常用图像编码算法，包括Huffman编码、Fano编码、算术编码、游程编码、Shannon编码及信源熵的计算的常用编码算法。-VC++ and Matlab common image coding algorithms, including Huffman coding, Fano coding, arithmetic coding, run-length coding, Shannon coding and source entropy calculation

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