ssim_index

可以广泛的应用于数据预测及数据分析,包括广义互相关函数GCC时延估计，现代信号处理中谱估计在matlab中的使用。( Can be widely used in data analysis and forecast data, Including the generalized cross-correlation function GCC time delay estimation, Modern signal processing used in the spectral estimation in matlab.)

说明：  Based on MATLAB cycle jump detection program, red fire, trance Yellow River

一篇有关TDDLTE的频率同步的文章，介绍了LTE的帧结构，及相关频率同步的方法(An article about the frequency of synchronous TDDLTE article introduces the LTE frame structure, and related method of frequency synchronization)

说明：  thanks it useful ihope to used

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))

dikstra can home algorimt net

产生两个均值为m,方差为sgma的高斯随机变量，当输入参数只有一个时，认为均值为0。(mean to have two m, sgma variance for the Gaussian random variables, when only one input parameters, that the mean of 0.)

PHASE SHIFT KEING MODULATION TECHNIQUE FOR COMMUNICATION

knn分类器算法（matlab源代码），供大家学习(KNN classifier algorithm (matlab source code) for everyone to learn)

用SwiftLanguage编写的A Star Routing.(A Star Routing that is created with Swift Language.)