Fig215_ErgodicCapacityVsNumberOfAntennas

说明：  喷涂机器人运动程序，是用matlab编写的，二维环境下运行的(Spraying robot program is written in matlab, two-dimensional environment, running under)

noise power estimation

Wireshark. The following reference answers are based on the trace files

对符号LMS算法进行性能仿真，并将其和LMS算法的 误差性能和收敛性能比较(The symbol LMS algorithm performance simulation, and error performance and LMS algorithm and convergence performance comparison)

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)

说明：  MATLAB 异步电机变转差率控制 simulink 模型 可供参考(Simlink Model of Variable Slip Rate Control for Asynchronous Motor Based on MATLAB)

Function to calculate the principal curvatures on a triangular mesh. Approximations of curvature are based on local (N=1) neighborhood elements and vertices. Note: Directions of curvatures aren t calculated appropriately. Will post an updated version once this is implemented. Note that calculations at vertices with few adjacent triangles, and hence few adjacent vertices, are expanded to a greater neighborhood. Reference: 1) Chen and Schmitt (1992) Intrinsic surface properties from surface triangulation 2) Dong et al. (2005) Curvature estimation on triangular mesh, JZUS This code makes use of routines: buildInverseTriangualtion.m & removeDO.m initially written by: David Gringas. He is gratefully acknowledged

Matlab常用函数参考，包含了Matlab中各种常用的基本函数说明(Matlab function reference used, contains the basic Matlab functions used in the description of various)

介绍卡尔曼程序原理的演示软件。可以为初学者提供参考。(Kalman procedures introduced the principle of the demonstration software. Can provide a reference for beginners.)

rls滤波器设计程序（用matlab编写的程序）(rls filter design process (using Matlab prepared by the procedure))