barsP_matlab

WIMAX系统下行仿真，采用matlab语言实现，包括编码解码，子载波映射等(WIMAX system downlink simulation using matlab language, including encoding and decoding, sub-carrier mapping)

说明：  提出了一种基于改进型微粒群算法的无线传 感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息(Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the selection of the candidate node and the neighbor node state information)

微机控制系统大作业单输入单输出，多输入单输出控制matlab程序，(The microcomputer control system project single input and single output, many input single output control matlab, )

恒虚警检查，根据虚警率确定门限值，进而确定检测概率(CFAR check, according to the false alarm rate to determine the threshold, and to determine the probability of detection)

this code is to learn about MATLAB

自适应波速形成，RLS、LMS噪声对消器，，以及性能比较(Adaptive beamforming, RLS, LMS noise, as well as performance comparison canceller)

说明：  扩展卡尔曼 α-β滤波器 实现低虚警下的单目标跟踪(Extended Kalman filter for single target Extended Kalman Single target tracking under low false alarm rate)

小波分析理论与Matlab R2007实现(Wavelet analysis theory and Matlab R2007 implementation)

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)

newmark and wilson theta mehtod