BPSK

这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式： （四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ 它可以解决使用以下代码： Ž = linspace（0,1,512） x = linspace（-5,5,1024） psi0 =进出口（- x的。^ 2） Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3） 字段= LinearBPM（psi0，有D，Z） 凡D_lateral1D是一个函数，提供“取代”的微分算子。 这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )

FCM fuzzy C-MEAns in MATLABn

Pegasos-原始估计分梯度求解支持向量机“ 是一种原始的优化支持向量机分类算法解决问题。 请参阅进一步的参考。("Pegasos-Primal Estimated sub-Gradient SOlver for SVM" is a primal optimization problem solver in Support Vector Machine classification algorithm. See the paper for further reference.)

卷积码编译码，用simulink模块搭建卷积码编译码，BPSK调制，仿真系统性能。(Convolution code encoding and decoding BPSK)

本算法程序基于实测汽轮机振动信号进行了测试及性能分析。理论分析及仿真结果表明，AR模型谱估计算法在阶次合适的情况下，能够取得较好的方差及分辨力性能，适合于振动信号的功率谱估计，且AIC准则为确定合理的模型阶次提供了有效依据。(This algorithm based on the measured turbine vibration signal testing and performance analysis. Theoretical analysis and simulation results show that, AR model spectrum estimation algorithm in appropriate circumstances the order, the variance can achieve better performance and resolution, suitable for vibration signal power spectrum estimation, and the AIC criterion to determine a reasonable model order provides an effective basis.)

SVM multi classifier with diferent Kernels example

資料挖掘的五個最熱門演算法,包括adaboost,C4.5,CART,ID3,Fuzzy_k means等.(The most popular five algrithms applied in Data mining )

这是一本关于控制系统设计的MATLAB工具书，对于控制领域的朋友来说应该很有帮助的。(This is about a control system design book MATLAB instrument for control of areas of my friends should be very helpful.)

说明：  本书对以Matlab为基础，从数字信号处理及图像处理的原理和算法入手，着重阐述用Matlab实现数字信号处理及图像处理的重要算法。(Book, Matlab-based, from digital signal processing and image processing theory and algorithms to start, focusing on the digital signal processing using Matlab and the importance of image processing algorithms.)

Matlab communication toolbox.