matlab-RFID--algorithm

以地基分布式有源雷达组网系统为讨论对象,在具体分析了4种系统定位误差的相互关系的基础上,给出了一种 基于ECEF转换法的系统目标综合定位精度评估模型,并利用典型的雷达参数,对2D与3D混合的雷达组网系统的实际目标 综合定位精度进行了仿真和对比分析,得到了一些对雷达组网系统的实际部署优化处理有参考价值的结论。 (The land-based distributed active radar network system is taken as discussion object.On the basis of the concrete analysis of the interrelation among four sorts of locating errors, a model of evaluating the integrated system locating precision is put forward. By using the typical radar parameters, the simulation a of the actual integrated locating precision of 2D/3D hybrid radar network systems are done. Conclusions that are helpful for optimization of radar network disposition are obtained. )

只需改变结构的内外半径即可即可求解杆状结构和管状结构的相速度和群速度的频散曲线。(Just change the structure of the inner and outer radii can be solved phase velocity dispersion curves and the group velocity of the rod-shaped structures and tubular structures.)

在matlab下进行图像处理的函数库，包含边缘线段拟合，透视变换，立体图像复原等toolbox中所没有的功能，详见index.html(in Matlab under image processing functions, including marginalized segment fitting, perspective transformation, three-dimensional images rehabilitation toolbox are not functional, as described index.html)

说明：  在命令行输入%%滞回曲线 t0=0; tf=20; x0=[0 0 0] [t,x]=ode45('Lorenz',[t0 tf],x0); plot(x(:,1),x(:,3))，可得滞回曲线(Enter the%% hysteresis curve on the command line t0=0; tf=20; x0=[0 0 0] [t,x]=ode45('Lorenz',[t0 tf],x0); plot(x(:,1),x(:,3)))

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT， 上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模 块，并统括系统性能的仿真验证了系统设计的可靠性 (OFDM full version of the source code, including coding, modulation, IFFT, Upper and lower frequency, Gaussian channel model, FFT, PAPR suppression, a variety of synchronization, demodulation and decoding module, and system performance of the omnibus simulation verify the reliability of the system design)

说明：  线性调频信号去斜处理，可以获得回波的时延信息。(LFM siganl's Stretch process, the delay of the echo signal can be obtianed.)

一种无限定位，toa时延定位算法的代码。matlab源程序 希望采纳( | | SCRIPT: simMLE | | PURPOSE: Simulate a relative location system by generating | random measurements and maximizing the likelihood fcn. | After many trials, show the results vs. the Cramer-Rao Bound. | | AUTHOR: Neal Patwari | http://www.engin.umich.edu/~npatwari/ | | REFERENCE: Relative Location Estimation in Wireless Sensor Networks | (N. Patwari, A. O. Hero, M. Perkins, N. S. Correal, R. J. O Dea), | IEEE Trans. Signal Processing, vol. 51, no. 8, Aug. 2003, pp. 2137-2148. | tic Use globals to allow minimization functions access to network info, debugging info. global refDevices blindDevices totalDevices linearRefLocs dhat funcEvals dfuncEvals Basic simulation parameters roomSize = [1,1] Room size, meters gridSize = 5 How many sensors per side refDevices = 4 How many references (must be same length as actualRefLocs) trials = 20 How many inde)

这是一个模拟枝晶生长的程序，能正常运行，实时更新图片(This is a program for simulating the growth of dendrites. It can run normally and update pictures in real time.)

this file include exm8*1 of Padyar book,and is about PSS,GEP...

说明：  主要介绍多尺度分散熵以及精细复合多尺度分散熵如何提取(This paper mainly introduces how to extract the fine composite multi-scale dispersion entropy)