sep96

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

心电信号R波检测，对于心电信号分析研究有很大的作用(Can accurately identify ECG R wave and marked , play a significant role on the study of the ECG analysis )

OFDM的详细仿真代码，有信道编码，调制，信道估计等(OFDM detailed simulation codes, channel coding and modulation, channel estimation, etc.)

使用MATLAB语言编写的光的反射程序，有需要的可以参考一下(The use of MATLAB language of light reflection process, there is a need to look at the can)

共上载5个源码，其中c语言c_matrix为矩阵类，可以实现几十种矩阵运算；其它四个为matlab程序，用于生各种杂波的程序(Upload a total of 5 source code, in which c language for c_matrix matrices can be achieved dozens of matrix operations the other four for the matlab program for Health and a variety of procedures Clutter)

生成反射系数的，希望对大家有帮助,是我们实验室用做地震资料处理流程中合成地震反射系数用的，具体看程序就知道。(you can see chinese explane,)

计算两幅图像的SNR信噪比的源代码MATLAB版(Calculation of two images PSNR peak signal to noise ratio of the source code version of MATLAB)

MATLAB程序设计指令功能经典教程MATLAB programming features classic tutorial instruction(MATLAB programming instructions feature the classic tutorial MATLAB programming features classic tutorial instruction)

Scale invariance in Template matching

介绍matlab神经网络工具箱的命令,是使用神经网络人员的经典手册(Introduction matlab neural network toolbox of command, is to use the classic neural network personnel handbook)