expres_recog

jacobi algorithm matlab code

有关DCT变换域的水印嵌入及提取MATLAB源程序(The DCT transform domain watermark embedding and extraction of MATLAB source code)

机器学习_斯坦福大学2013课后作业 正在学习，作业联系可以参考(Machine learning _ Stanford University 2013 Homework Are learning, you can refer to the operating contact)

CS8952 circuit application

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))

多个访问性能epeated-permutation MPPM与干扰避免(Multiple Access Performance for Repeated-permutation MPPM with Interference Avoidance)

L algorithme de Regularised orthogona matching poursuit qui permet la reconstruction des signaux

LTE下行链路自适应技术，用于空分复用闭环反馈，主要有CQI、PMI、RI估计，自适应调制和预编码(LTE downlink adaptive technology for space division multiplexing closed-loop feedback, mainly CQI, PMI, RI estimation, adaptive modulation and precoding)

moving object dection with the three dimendional analysis

说明：  正弦合成法实现的瑞利多径信道MATLAB源码,是信道建模的基础 (Sine synthesis method to achieve multi-path Rayleigh channel MATLAB source code is the basis of channel modeling)