四种传统算法进行DOA估计

Face Recognition system

雷达信号的多普勒补偿问题，对雷达整个的工作过程进行了仿真，多普勒进行了估计和补偿(Doppler radar signal compensation, work on the radar the whole process was simulated Doppler estimation and compensation were)

program for gmm distribution calculation of speech features

对cdma系统进行仿真，包括误码率统计等，结果输出到result.dat文件当中。(simcdma.m allows a set of CDMA parameters to be simulated, such as BER verse number of users, etc. All the graphs used in the thesis were generated using this script. The output from this script is a Result.txt file which is a comma delimited spread sheet compatible file.)

说明：  经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。(The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered)

这是Simulink仿真程序的模块图，可以借助这个学习基本的PID仿真程序(This is a block diagram of the Simulink simulation program can make use of this learning basic PID simulation program)

支持向量机的最小二乘法LS-SVM工具包(The method of least squares support vector machine LS-SVM Kit)

For inverting a matrix, Gauss-Jordan elimination is about as efficient as any other method. For solving sets of linear equations, Gauss-Jordan elimination produces both the solution of the equations for one or more right-hand side vectors b, and also the matrix inverse A(-1). However, its principal weaknesses are (i) that it requires all the right-hand sides to be stored and manipulated at the same time, and (ii) that when the inverse matrix is not desired, Gauss-Jordan is three times slower than the best alternative technique for solving a single linear set.

利用Matlab编程进行主成分分析 讲解有关主成分在matlab中的应用(And Matlab programming principal component analysis on the principal component in matlab)

matlab7图书里面的所有matlab代码，对初学者很有用，可以用来来纳西基本操作，熟悉基本的子程序，或供工程人员进行功能仿真是很的参考(Book inside matlab7 all matlab code, very useful for beginners and can be used to Naxi basic operation, familiar with the basic subroutine, or by project team members to conduct functional simulation is the reference)