fiber-EH11-mode

用MATLAB求解三元物系的NRTL方程，可以供大家参考使用(Ternary System on MATLAB to solve the NRTL equation, for your use and reference)

IndexOrder : can change indexing Order Right to left or Left To Right , U can Change Default From en_RightToLeft to en_LeftToRight if you want. ##### HorizontalyOrder : if set to false then vertical ordering ##### SetFocusFirstINDEX : if set to true then Finaly First Component in form who have index = 0 Setfocuse

混沌时间序列求嵌入维(embedding dimension)Cao方法(Chaotic time series seeking embedding dimension (embedding dimension) Cao method)

PMSM的向量控制系统，仿真环境matlab7.55/simulink ，经测试可直接使用。 (PMSM vector control system, simulation environment matlab7.55/simulink, has been tested and can be used directly.)

《精通matlab7.0混合编程》的例子程序，其中涉及MATLAB程序和VC++程序，其中大部分为改书所附光盘。()

说明：  《MATLAB7.x与C/C++混合编程》配套的源程序 6.5.2节代码 vc.net通过扩展MFC动态链接库创建MEX程序(&quot MATLAB7.x and C/C++ mixed programming,&quot supporting the source code vc.net 6.5.2 MFC dynamic link library by extending the program to create MEX)

在偏微分方程的数值求解中，有一类很重要的问题就是求解有奇异点的泊松方程，此程序是用C写的并行程序，能极大的提高泊松方程的求解(In the numerical solution of partial differential equations, there is a class of very important issues that have a singular point of solving the Poisson equation, this program is written in C parallel programs, can greatly improve the solution of the Poisson equation)

Matlab中erf(x)函数的表达式是怎样的，erf(x)与标准正态分布函数之间的关系是怎样的，怎样自己编制一个计算标准正态分布函数数值近似值的函数，如何利用matlab自带的erf(x)函数包近似计算标准正态分布函数的值，数值计算值与用erf(x)转化求得的值之间的相对误差是怎样的。(将中文译成英语 Matlab, erf (x) function expression is what, erf (x) the standard normal distribution function and the relationship between what and how to prepare their own calculation of the standard normal distribution function a value function approximation, how to use matlab comes with erf (x) function package approximate standard normal distribution function values??, numerical values ??and with erf (x) between the values ??obtained into the relative error is like. )

主要用于建模校正集和预测集样品的选择。近红外光谱模型(Mainly used for modeling calibration set and prediction set of samples to choose from.)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)