footanalysis

主要介绍如何实现卷积和相关的界面演示，并可以自己编写信号，操作方便。(Describes how to implement convolution and correlation of the interface presentation, and you can write your own signal, easy to operate.)

在VC++ 6.0环境下调用Matlab引擎进行混合编程，该程序源码展示了Matlab引擎接口的实现。(In VC++ 6.0 environment, call Matlab engine hybrid programming, the program source code shows the Matlab engine interface.)

说明：  一个经典的matlab编程的JC法的可靠度的计算，对可靠度的学习很有用(Matlab programming a classic calculation of reliability of JC method, useful for the study of reliability)

wlan信道仿真模型，考虑了各种不同场景下的信道变化(wlan channel simulation model, taking into account various channel change under different scenarios)

粒子群算法求解车辆路径优化问题，有需要的可以参考一下(PSO for Vehicle Routing Problem)

根据所限定的条件，绘制出并联机构运动空间图(accoring the limit you need to choose the available degree combinations)

这个东西是我在网上下的，关于ＧＵＩ的东西，好多有用的东西，呵呵，看看吧(this thing on the Internet is under the GUI of the things that a lot of useful things, Oh, let's see it)

Is not a sourcecode or document. IT IS A DIRECT SHEAR TEST BOOK FOR STUDNETS TO CONDUCT LAB WORKS

该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。(The algorithm the basic idea is to use a set of random sample with the corresponding weight namely particle approximation PHD and base distribution, its significance lies in not only solve the problem of multiple integral calculation without closed solution, and in the process of filtering, PHD function by a series of discrete weighted value of sample approximation, with the increase of sample particles, PHDF close to the Bayes optimal estimation, and is not subject to the assumptions of the linear and gaussian model can be applied to nonlinear non-gaussian stochastic system.)

对回波信号的信号处理过程分为正交相检，固定杂波对消，MTD窄带滤波器组处理，相参积累和恒虚警处理(Signal processing of echo signals into quadrature-phase review process, the fixed clutter cancellation, MTD narrowband filter processing, coherent and CFAR)