matlab_ubique_root

本代码使用matlab工具实现了一幅图片的位面图提取，且实现了在某个位面上加密信息、恢复信息的功能。并给出三幅图片的运行结果展示。(This code uses the matlab tool to achieve a picture of the bit plane map extraction, and the realization of the encrypted information in a bit plane, the function recovery information. And gives the results of running three pictures show.)

混合相似度故障诊断，用在田纳西过程中的一种监控算法，效果很好很新颖(Mixed similarity fault diagnosis in Tennessee process)

用来演示太阳、地球、月亮、卫星同时绕转的动画，体现他们之间的关系(Used to demonstrate the sun, the earth, the moon, orbiting satellites simultaneously animation, reflecting the relationship between them)

wav格式的音频中实现水印的嵌入与提取 由现成的软件超级MP3转换大师V1.20把mp3->wav 然后再由MATLAB做wav水印嵌入 (wav audio format to achieve watermark embedding and extraction of off-the-shelf software from Super Master V1.20 to MP3 conversion mp3-> wav then wav watermark embedding MATLAB to do)

说明：  这是一个用MATLAB来实现的差分算法 在MATLAB上模拟 挺有用的(using MATLAB to realize the difference algorithm in MATLAB simulation quite on the)

近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力 (Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time series analysis method, the physical meaning of entropy value is larger, the lower the self-similarity of the time series, the more complex the sequence, whereas sequence of self-similarity the higher and the sample entropy weak dependence for the length of the sequence, only shorter data can be healthy entropy value, calculated without data coarse-grained, with good anti-jamming capability)

说明：  MATLAB前推回代法配电网潮流，节点数任意修改(MATLAB- Power Flow of Distribution Network Based on Forward and Backward Substitution)

光流计算得到运动场。使用算法为Lucas Kanade算法 很好用，大家(Optical flow calculated by the Sports Ground. The use of algorithms for the Lucas Kanade algorithm good use, U.S.)

利用EM算法实现高斯混合模型的优化，完成特征建模(Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling)

主成分分析离线功能实现和用法，这里是源代码，代码详细，数据齐全(Principal component analysis offline implementation and usage, here is the source code, the code in detail, the data is complete)