communication

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2+ bxy+ cy^2+ dx+ ey+ f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )

(ebook)Practical FIR Filter Design in MATLAB.rar 关于fir滤波器设计的matlab版 很好的资料((Ebook) Practical FIR Filter Design in MATLAB.rar on the fir filter design matlab version of good information)

这个程序只合适计算k=1 (也就是Lcd=1）,对于其他k值，一些参数要做适当变化。这也是soliton format 不宜用于非线性耦合开关的一个原因。它使问题复杂化。这个程序是计算孤子格式化下的非线性薛定格方程组，程序中的方程与我们之前的博文提供的程序的方程不同。我们当初做这个仿真的目的，一方面要重复 S. Trillo, S. Wabnitz, E. M. Wright and G. I. Stegman, 在他们论文“Soliton switching in fiber nonlinear directional couplers.” Opt. Lett. Vol.13, No.8, pp672-674(1988) 的仿真结果，以确保我们程序是正确的。另一方面要以己之矛攻己之盾。当时，孤子开关用孤子归一化的非线性薛定格方程描述已经广泛被接受和使用。很多人因为他们孤子开关的工作，也获得了重要的学术地位，要想发一篇跟他们之前的工作不同的观点的文章是很困难的。那些审稿的人，不是他们本人，就是学生或粉丝。图1中的曲线跟我们其它文中的曲线有很大不同，这是因为在这里输入脉冲是bsech(bt),因而输入脉冲的脉宽跟脉冲幅度一起变化，而其他地方我们只考虑脉冲幅度的变化，因为脉宽的变化已经包含在参量Lcd 中了。(This Matlab file solves the nonlinear Schrodinger equation in soliton format)

运用matlab，求解单模光纤的有效折射率，常用于BPM算法之中(Use matlab, solving the effective refractive index of single-mode fiber, commonly used in the BPM algorithm among)

一个产生PFM的simulink模型，可以改变占空比与频率(generating repeating sequence)

一个简单的指纹识别matlab程序，包括预处理，特征点提取及指纹识别。(a simple matlab program about figerprint identification , including predispose, feature extraction,and fingerprint identification)

用matlab实现的分类算法，非常经典的，功能齐全(Using matlab realize the classification algorithm, a very classic, full-featured)

extreme learning machine 例子 run satimage_mean(extreme learning machine examples run satimage_mean)

Numerical simulation of solution of orange droplet in a soup using matlab FEM

This function is intended as the "main" program. That is, execution will begin with this function it will receive commandline input from the user and return results to the user.