simulink

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)

matalb建模仿真与实例精讲的源代码，希望有助于你，也希望你分享更多东西(matalb Modeling, Simulation and the source code of the instance of Jingjiang)

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)

This source can apply Radio over fiber

：以matlab工具箱的形式给出了静态及动态未知环境下移动机器人地图构建的仿真研究平 台。通过分析polaroid6500声纳、电子罗盘、编码器等传感器的工作原理建立了参数可调的传感器 模型。这些传感器为机器人提供位姿及环境信息。在分析已有基于hough变换的线段提取算法的基 础上提出了抑止。杂线段。现象的CIHT[Clus~r Inhibiting Hough Transform]算法．采用cIHT 对声蚋信息作环境特征提取，便于开展基于环境特征的未知环境地图构建算法方面的研究工作。(Abstract：A simulation system ofmapping for sonar-based mobile robot was developed易0 in static and dynamic unknown environments in a foFin ofmatlab toolbox．Sensor models with tunable parameters were established by interpreting and simulating the mechanism of encoder。digital compass．and polaroid 6500 sonar．These sensors provide the information of robot pose and environments．A novel C1HT[Cluster Inhibiting Hough Transfo删J algorithmfor sonar data was proposed by ana~zing existing line segments detection methods based on Hough Transform，which would make the research of feature—based mapping of unknown environment more convenient．)

说明：  自己做的一个关于模糊逻辑的控制器，输入隶属函数为高斯型，输出为三角型(a fuzzy logic controller)

基于离散余弦变换的数字水印，在图像的dct变换域中相应嵌入数字水印(Discrete cosine transform-based digital watermarking, the image of the dct transform domain watermark embedding corresponding)

Project SmartGREEN Control 1.2a Main Program [Arduino]

多元数据分析的主分量分析投影，esprit算法对有干扰的信号频率进行估计,能量谱分析计算。( Principal component analysis of multivariate data analysis projection, esprit algorithm signal frequency interference can be assessed Energy spectrum analysis and calculation.)

此程序能实现很好的低通滤波，能很好的滤除低频分量，对于初学图像处理的人很有用(This process can achieve a good low-pass filtering, the filter can be a very good low-frequency components, for beginners who are useful image processing)