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matlab 数值分析 列主元消去法 线性方程(matlab numerical analysis PCA elimination of linear equations)

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

用Matlab编写的天空之城，分享给大家听听(Matlab prepared Laputa, share them to you)

ni5641r模拟输入代码，并画功率谱估计。(ni5641r analog input,and draw power spectrum estimation.)

QAM and Fading simulation

2dpca的matlab源代码,很好用的一个算法，大家可以来试试啊(2dpca the matlab source code, good use of an algorithm, we can to try ah)

Taflove A. The Finite-Difference Time-Domain Method. Boston: Artech House, 1998

说明：  MATLAB小波分析与应用实例(第二版).应用于信号处理和图像处理的原理和基本方法，大量的示例可尽快地了解小波分析，而且在每种分析方法的介绍中同时介绍其问题背景，直接通过Matlab使用小波分析解决实际问题。 (MATLAB Wavelet Analysis and Applications (second edition). Applied to signal processing and image processing theory and the basic method, a large number of sample as soon as possible understanding of wavelet analysis, and analytical methods in each presentation also introduced the background of its problems, directly through Matlab using wavelet analysis to solve practical problems.)

说明：  系统辨识中的各种辨识算法：如最小二乘法、递推最小二乘法、广义最小二乘、变遗忘因子递推算法等。(System Identification of identification algorithm : if the least-squares method, recursive least squares method, generalized least squares, changing the forgotten factor algorithm.)

图像分解算法及其应用，非常好的源码，希望对你有些帮助！(Image decomposition algorithm and its application, very good source, I hope you some help!)