MPC_Exercise_First

MATLAB应用程序举例，实践应用，语法基础，matlab入门基础应用(MATLAB application, for example, practice and application, basic grammar, matlab basic application Introduction)

psd for noise+clutter+jammer

说明：  这是基于matlab下的数字信号处理示例，包括信号、系统和系统响应的实现等(These are some digtal signal processing examples based on the matlab. And these include filter ,matrax algthrom,and so on......)

遗传算法原理及应用 遗传算法的基础应用，是遗传算法的基本知识(Principle and Application of genetic algorithm based on genetic algorithm applications, basic knowledge of genetic algorithms)

了解隐马尔科夫模型HMM的概念、组成和需要解决的问题；掌握三个基本算法：forward算法、Viterbi算法和Baum-Welch算法，并利用matlab进行实验分析一道具体问题(Understand the concept of Hidden Markov Model HMM, composition and problems to be solved mastered three basic algorithms: forward algorithm, Viterbi algorithm and Baum-Welch algorithm and experimental analysis using matlab specific problems together)

是个不错的算法程序，可以直接实现功能。密度方式的聚类算法(It is a good algorithmic program, which can implement functions directly.)

现代数字信号处理Burg法功率谱估计，有详细的备注(Burg method of modern digital signal processing power spectrum estimation, contains a detailed Remarks)

generating AM signal to use in adaptive algorithm for remove direct path in passive radar

GM 862 gsm gprs modul visual basic project and aplication. Take photo from GM 862 modul and sample project.

功能描述：测试LMS与RLS算法，比较两种算法的收敛特性 文件名：LMS_RLS_sim.m 测试用例： x(n)+a1*x(n-1)+a2*x(n-2)=e(n)，a1=-1.6,a2=0.81,e(n)为高斯白噪声 文件输出：系数a1的值 调用函数：function [A] = LMS_Algo(M,N,mu,xn) 被调用：无 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )