3_110-3

用matlab程序编写的一个捕捉鼠标坐标的小程序，用来参考。(Matlab programmers use to capture the mouse coordinates of a small program used to refer to.)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

Closed form BER for Alamouti Code

空间谱估计用的MUSIC算法简单程序，用于测试论文(DOA MUSIC)

改程序包可以进行字旋转链和量子寄存器建模等。(this program package helps modeling spin chains, qubit registers, etc. according to nonrelativistic quantum mechanics and some novel ideas from quantum information theory.)

希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))

A MATLAB based iterative threshold selection algorithm for cooperative sensing in a cognitive radio network.

主要研究了比较经典的直接加窗加权旁瓣抑制技术，并利用Matlab进行了仿真，给出了对线性调频信号和 相位编码信号脉冲压缩旁瓣抑制的直接加窗加权法处理结果，得出了分析结论。(Mainly studied the classical direct windowed weighted sidelobe suppression techniques, and using the Matlab simulation, given a linear FM signal and The phase-encoded signal pulse compression sidelobe suppression of the direct plus window weighting method the results of the analysis conclusions.)

ClassPoolFiller extends SimplifiedVisitor implements ClassVisitor.

基于灰色关联理论的移动机械人故障诊断方法研究(Based on Grey Relational Theory mobile robot fault diagnosis method)