fenshuweicalculation

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))

基于MFCC参数和DTW算法的语音识别算法，对0-9这十个数字的中文发音进行识别。该程序对特定的三个人的声音做训练，并用来识别这三个人之外的30个人的发音，即特定人的集合外的识别，程序中已有语料。(The MFCC parameter and DTW algorithm-based speech recognition algorithm, the 0-9 ten digits Chinese pronunciation recognition. Do training of the program on the specific person' s voice and is used to identify these three individuals outside of the 30 individual pronunciation, i.e. the identification of the collection of a specific person, the program already corpus.)

LDPC码，译码算法的matlab实现程序。。。。(LDCP code ,the matlab software for LDPC)

说明：  MATLAB数学实验的课件以及作业，里面有程序以及分析过程，这个是关于线性代数的(MATLAB Mathematical experiment courseware and operations, there are procedures and analysis process is on the linear algebra)

FLch4GAeg1.m――梯度校正LS辨识程序(FLch4GAeg1.m-- gradient correction LS identification procedures)

filters signals EKG to detect qrs complex

用matlab编写的小程序，高斯—赛德算法(gusaa-seid matlab)

to find the error function and plot it and to find the cell coverage and plot it..

基于稀疏贝叶斯学习的稀疏向量恢复算法，里面包含多个情景下的仿真程序和说明(Sparse vectors recovery based on SBL)

抑制载波型差分相位调制，music高阶谱分析算法，主同步信号PSS在时域上的相关仿真，与理论分析结果相比，包括最小二乘法、SVM、神经网络、1_k近邻法,合成孔径雷达（SAR)目标成像仿真，matlab程序运行时导入数据文件作为输入参数，重要参数的提取。( Suppressed carrier type differential phase modulation, music higher order spectral analysis algorithm, PSS primary synchronization signal in the time domain simulation related, Compared with the results of theoretical analysis, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Synthetic Aperture Radar (SAR) imaging simulation target, Import data files as input parameters matlab program is running, Extract important parameters.)