MATLABBOOK

　K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。(K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the basic idea of the algorithm is: to the space K point as the center of the cluster analysis, near their object classification. Through the iterative method, each successive update clustering center value, until get the best clustering results. )

关于SVM变成的数据与处理方法，数据的归一化函数，可以使用(About the data and processing become SVM method, data normalization function, can use )

简单的 knn 文本算法 ，用于中文文本分类，比较方便的方法！(Simple text knn algorithm for Chinese text classification, more convenient way!)

博士论文设计关于人脸识别 (Face recognition )

系统辨识 自适应控制 经典递推算法 最小二乘递推算法(system identification least square algorithm)

V-BLAST空时码仿真，干扰消除和无干扰消除的SNR-FER曲线(Simulation of V-BLAST)

MATLABSimulink通信系统建模与仿真实例精讲 源码程序(MATLABSimulink communication system modeling and simulation program source code examples succinctly)

Getting Start LPC 1768 LandTiger

由于小波及小波包技术可以将信号或图像分层次按小波基展开，所以可以根据图像信号的性质以及事先给定的图像处理要求确定到底要展开到哪一级为止，从而不仅能有效地控制计算量，满足实时处理的需要，而且可以方便地实现通常由子频带、层次编码技术实现的累进传输编码（即采取逐步浮现的方式传送多媒体图像）。这样一种工作方式在多媒体数据浏览、医学图片远程诊断时是非常必要的。另外，利用小波变换具有放大、缩小和平移的数学显微镜的功能，可以方便地产生各种分辨率的图像，从而适应于不同分辨率的图像I/O设备和不同传输速率的通信系统。相比之下，利用KL变换进行压缩编码，只能对整幅图像进行；而利用小波变换则能够比较精确地进行图像拼接，因此对较大的图像可以进行分块处理，然后再进行拼接。显然，这种处理方式为图像的并行处理提供了理论依据。 (As the little affected wavelet packet technology can signal or image stratified by wavelet and so on according to the nature of the image signal and the image processing requirements given in advance exactly sure on to what level, and so far not only can effectively control of calculation and meet the needs of the real-time process, and can be easily realized by sub-band usually coding technology, levels of the realization of the progressive transmission (that is, take gradually emerged coding the way multimedia image transfer). Such a way of working in multimedia data browse, medical image remote diagnosis is very necessary. In addition, by using wavelet transform has amplification, narrowing the mathematics of peace move microscope function can be easily produce all sorts of resolution image in order to adapt to different resolution in )

检验实际分布是否与理论密度分布函数相符合。球面均匀分布的随机点在二维平面上的投影的密度分布(Verify whether the actual distribution consistent with the theoretical density distribution function. Spherical uniformly distributed random dot density distribution projected on a two-dimensional plane)