LEACH

卡尔曼滤波应用于线性预测仿真 MATLAB仿真程序(kalman filter uesed for LP)

THIS SHOWS THE UPLINK AND DOWNLINK DESIGN OF SATELLITE COMMUNICATION USING VARIOUS PARAMETERS AS THE INPUT...

图像处理方面，可以实现在两车交汇时对车辆的准确定位与跟踪。是MATLAB与卡尔曼滤波的结合(In image processing, it can realize the accurate location and tracking of the vehicle at the intersection of the two vehicles, which is the combination of MATLAB and Calman filter.)

SEGY是指地震数据模式。SEG-Y格式是由SEG 提出的标准磁带数据格式之一，它是石油勘探行业地震数据的最为普遍的格式之一。本文介绍了SEGY格式与SU格式之间的转化，SEGY格式数据的处理，及相关函数(SEGY is a seismic data format.This paper introduces the transfer between SEGY and SU, the processing of SEGY data and some related functions. )

深入浅出的介绍matlab一些应用实例，帮助你快速掌握该软件的使用(Some application examples explain profound theories in simple language to introduce MATLAB, used to help you quickly master the software)

gmcalab 快速广义的形态分量分析算法，用于图像修复，稀疏分解、降噪等，用途广泛。从mca主页下载的(gmcalab fast generalized morphological component analysis algorithm for image restoration, sparse decomposition, noise reduction, and versatile. Mca downloaded from the home page)

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))

模式分类（中文版），课后题，127页第1题，MATLAB源程序(Pattern Classification (Chinese version), after-school question, 127 No. 1 problem, MATLAB source code)

Pade递推算法，完成插值，收敛快，精度较一般多项式插值高(Pade recursive algorithm to complete the interpolation, convergence and accuracy higher than the general polynomial interpolation)

there are some codes aboutAdaptive equlalization in the telecommunication