LMSmangduoyonghujiance

说明：  本程序是介绍matlab的engine应用程序接口，并在c程序中控制matlab的运行。(engine)

说明：  这是一个用FDTD算法计算二维金属方柱散射场RCS的matlab程序.采用UPML吸收边界条件和高斯脉冲源激励,对于学习FDTD方法中的激励源加入,近-远场外推,吸收边界设置等很有帮助 (This is a two-dimensional metal with the FDTD algorithm to calculate the scattering RCS of a square cylinder matlab program. UPML absorbing boundary conditions and using the Gaussian pulse source excitation, FDTD methods for studying excitation source added, near- far field extrapolation, absorbing boundary settings, and helpful)

说明：  蚂蚁算法解决流动货郎问题，matlab源代码(ant algorithm to solve the problem of mobile Peddlers, Matlab source code)

VFH+ 机器人matlab改进测试代码(VFH+ improved testing robot matlab code)

Point Set Registration: Coherent Point Drift 的源代码(Source code of Andriy Myronenko, Xubo Song, "Point Set Registration: Coherent Point Drift," IEEE Transactions on Pattern Analysis and Machine Intelligence, 25 Feb. 2010. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.46>)

用SIMULINK仿真框图来实现AWGN信道(SIMULINK simulation diagram used to achieve the AWGN channel)

metodo de cramer para raices. codigo implementado

针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其Cramer-Rao下限 进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对 目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制 定实际的跟踪策略或算法具有一定的参考价值 (For double-base matrix provided biased information azimuth measurement of double-base bearings-only target array may be a necessary condition for observability and Cramer-Rao lower limit of the theoretical derivation. On this basis, a new auxiliary variable method of double-base bearings-only tracking array to improve performance and can be observed under the condition of targets Monte Carlo simulation. The experimental results show that the new auxiliary variable method can greatly improve the accuracy of parameter estimation and the formulation of the above-mentioned theory tracking the actual strategy or algorithm has certain reference value)

说明：  本实验的目的是考虑不同维数下的高斯概率密度模型，用最大似然估计方法对其参数进行估计，了解最大似然估计方法。(The purpose of this study is to consider different dimensions of the Gaussian probability density model, using the maximum likelihood method to estimate its parameters to find maximum likelihood estimation.)

说明：  灰色预测matlab程序与散点图的绘制的matlab程序(Grey prediction matlab program and scatter diagram of MATLAB program )