UAV

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)

old videoplayers src :cinemaplayer,subedit,viplay+the scientist & engineer s guide to digital signal processing.pdf(full)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.

To support wireless communication : MIMO

利用fastICA算法进行复数的独立成份分析，属于盲源分析的一种(fastICA)

一种针对稀疏孔径的合成孔径雷达的区域加强成像算法(Region-Enhanced Imaging for Sparse-Aperture Passive Radar)

Radio Access Network Emulator for LTE

灰度图像阈值分割，用二维otsu方法实现的matlab程序(Gray image threshold segmentation, using two-dimensional Otsu method of matlab program)

说明：  MATLAB给图像添加各种噪声，非常好用，希望对大家有用(MATLAB add all kinds of noise to the image, very easy to use, we hope to be useful)

Performance Comparison of Kalman Filter Based Approaches for Energy Efficiency in Wireless Sensor Networks