wcov

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))

It can be applyed forthe Spectral Element Method conbined finite element and spectral method to solve the 2D wave equation.as a pecial case is SH. dynamic fault with slip weakening is considered either.

基于阴影分割的车辆检测识别，可以成功地检测出车辆位置(the vehicle detection based on shadow,it can detect the vehicle succefully)

Matlab实现FFT变换代码（包括单边谱及双边谱）(Matlab realization of FFT transform code (including unilateral and bilateral spectrum spectrum))

16QAM软解调方式，适合与Turbo码、LDPC等结合，可按照次思路扩展到高阶调制和解调(16QAM soft demodulation method, suitable combination of Turbo codes, LDPC, in accordance with sub-ideas to be extended to higher order modulation and demodulation)

利用单元平均CFAR门限以及单元平均选大CFAR来实现信号的频谱搜索(Using cell average CFAR threshold and average unit chosen CFAR to realize the signal spectrum search )

对振动信号进行频域处理包括：信号谱分析，matlab中没有的窗函数处理，三分之一倍频程处理、、、(The vibration signal of the frequency domain includes: signal spectrum analysis, the window function in MATLAB no, 1/3 octave processing,,,)

主要是通过matlab编写设计一个矩形窗的程序(Written mainly by matlab program to design a rectangular window)

可以分离语音的独立分量分析程序 可以实现瞬时和卷积混合的分离 相当好用(ica_f.m bsepf2 is the main program and it needs correlation.m decorrelation.m permutation.m sepfilter.m. You also need to visit ftp://sig.enst.fr/pub/jfc/Algo/Joint_Diag/ and get a matlab code "joint_diag.m". this is by Jean-Franc{c}ois Cardoso. You have to put the code under this directory "ica". usage is function [Y1,Y2] = ica_f(X,NFFT,FS,OVERLAP,N) )

基于艾德尔菲大学的遗传工具箱具体应用指导，非常详细(Application specific instruction genetic toolbox based on Edel Faye University, very detailed)