Kalman-filter

将doubly stochastic matrix分解成一个排列矩阵的集合，并构造其概率分布(The doubly stochastic matrix is ​ ​ decomposed into a set of permutation matrix，at the same time，its probability distribution is constructed.)

Abstract The study of digital signal processing normally concentrates on the design, realization, and application of single-input, single-output digital filters. There are applications, as in the case of spectrum analyzer, where it is desired to separate a signal into a set of sub-band signals occupying, usually nonoverlapping, portions of the original frequency band. In other applications, it may be desired to combine many such sub-band

机器学习matlab实现，是机器学习基础教程的程序实现(implementation of Machine learning using matlab, Refference book name is basic course of machine learning program implementation)

Matlab7.0基础教程，本书内容全面，并有大量习题。(Matlab7.0 based tutorials, this book is comprehensive, and a large number of exercises.)

自适应遗传算法 MATLAB编程。。。。。。。。。。。。。。。。。。(Adaptive genetic algorithm)

matlab code with adaboost algorithm

程序的主要功能是做了一定范围的信噪比下，对每个信噪比：随机信号QPSK调制； 根据Alamouti方案的矩阵进行编码；发送信号经过瑞利信道和加入高斯白噪声； 接收信号采用最大比合并的方法；最后对合并信号进行最大似然判决并求误符号率。 结果表明10^-3对应大约12->13dB(Procedure main function is to do a certain range of SNR for each signal to noise ratio: random signal QPSK modulation program in accordance with Alamouti coding matrix send signals through Rayleigh channel and adding Gaussian white noise received signal using maximal-ratio combining method Finally the combined signal and the maximum likelihood decision for symbol error rate. The results showed that about 10 ^-3 corresponds to 12-> 13dB)

机器人仿真程序，有界面和运行系统，供初学者学习(robot simulator，just for preliminary learner to study。Thank you very much。haha )

聚类传播算法，用来处理数据，对数据分类处理。(Clustering propagation algorithm, used to process the data, the data classification process.)

This Matlab code calculates the Rand Index and Adjusted rand Index between two clustering groups. The two input clusters has to be in the form of a structure as shown in the example mat file ( A and B ) attached in the folder. The code calculates the contingency table among the cluster and then calculates the Rand Index and Adjusted Rand Index. Using the value of the indices one can know about the similarity of the clustering group