adaboost

Gaussian white noise stimulus

matlab的.m文件，用来测量阶跃信号仿真时的超调量，调节时间。(matlab .m file is used to measure signal simulation step when the overshoot, settling time.)

自己编写的有关Matlab中MUSIC算法下的目标方位估计 (I have written about the MUSIC algorithm in Matlab DOA Estimation)

前向链路的信道路径仿真 为通信事业做出点小小事情(Forward link channel simulation for the communications path to point the cause of small things)

function pi = solve2(count,m,cc) 借助布冯投针实验 仿真求pi的值 pi=0 frq=0 randNo = binornd(1,cc,1,m) pro=zeros(1,count) for j=1:count for i = 1:m if randNo(1,i) == 1 frq = frq + 1 end pro(i) = frq/i end pi = (2*m)/frq pro(j) = pi end pro = pro,num =1:count plot(num,pro) (function pi = solve2 (count, m, cc) to vote with Buffon needle experiment simulation find the value of pi pi = 0 frq = 0 randNo = binornd (1, cc, 1, m) pro = zeros (1, count) for j = 1: count for i = 1: m if randNo (1, i) == 1 frq = frq+ 1 end pro (i) = frq/i end pi = (2* m )/frq pro (j) = pi end pro = pro, num = 1: count plot (num, pro) )

工程计算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time series data to be tapered p = the number of tapers requested I = the gap structure a vector of length N I(t) = 1 if there is data at time t, t=1, ..., N I(t) = 0 if there is a gap at time t output: X = N-by-p vector of the reorthogonalized sine taper(engineering MATLAB code to calculate the reorthog onalized sine tapers input : N = the length of the time series data to be tapere d p = the number of tapers I requested the gap str = ucture a vector of length N of I (t) = 1 if there is dat a at time t, t = 1, ..., I N (t) = 0 if there is a gap at time t output : X = N-by-p vector of the reorthogonalized sine t aper)

simulataed anneling for matlab for optimization

储油罐的变位识别和罐容表标定的方法分析matlab程序(The displacement analysis of calibration method)

说明：  APF有源滤波器仿真，两电平，三相四线制，电力电子技术，matlab simulink(APF active filter simulation, two-level, three-phase four-wire system, power electronics technology, matlab simulink)

本书是关于matlab6.5的辅助优化设计的，里面有一些关于优化的算法，实例及一些源程序。(the book is on the auxiliary matlab6.5 optimal design, which a number of optimization algorithms, and some examples of source code.)