How_to_sho21710312232009

基与matalab的编码程序 已经调试通过(coding)

通过极坐标变换获得中心投影曲线，从而利用中心投影进行图像分割。(Polar coordinates obtained by central projection curve to using a central projection for image segmentation.)

OMP code can be found here

说明：  function [ret,x0,str,ts,xts]=s3(t,x,u,flag) s3 is the M-file description of the SIMULINK system named s3. The block-diagram can be displayed by typing: s3. SYS=s3(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.

能够屏蔽文件中一些禁用语，能够设置某些语言(Be able to document some of mask to disable language, be able to set some languages)

说明：  该程序在MATLAB环境下编译，用于重构一维时间序列的相空间轨迹，并找出最佳的重构延迟步长或时间。(The program compiled in MATLAB environment for the reconstruction of time series of one-dimensional phase space trajectory, and the Reconstruction of the best step length or time delay.)

此程序是关于经济学中布莱克斯科尔斯模型 的matlab实现(This procedure creates a three-dimensional plot showing how gamma changes relative to price for a Black-Scholes option. Recall that gamma is the second derivative of the option price relative to the underlying security price. The plot shows a three-dimensional surface whose z-value is the gamma of an option as price (x-axis) and time (y-axis) vary. It adds yet a fourth dimension by showing option delta (the first derivative of option price to security price) as the color of the surface)

通过matlab编程，实现了快速傅里叶基4的变换(Through matlab programming, achieve a fast Fourier transform base 4)

erbium dopped fiber amplifier with length

说明：  在各行各业的工程实践中，有大量的科学计算工作需要完成。传统的计算方式一般需要较长的周期，相比之下开发效率极高的MATLAB是一个更好的选择。在MATLAB中，编程细节被简化，繁琐的实现过程也被略去，用户可以将更多精力集中于所需要处理的核心问题上。 MATLAB科学计算涉及数学、机械、电子、控制和金融等多个领域。本书以MATLAB科学工程计算为立足点，介绍MATLAB在科学计算领域中如何运用庞大的科学函数库来解决一些实际问题。在函数的选择上兼顾各函数的使用频率和专业性，力求典型全面。本书可作为MATLAB课程的教学用书或者线性代数、概率统计等课程的教学辅助书。(In the engineering practice of all walks of life, there is a lot of scientific calculation work to be completed. The traditional calculation method generally needs a long period, in contrast, the development of highly efficient MATLAB is a better choice. In MATLAB, the programming details are simplified, and the tedious implementation process is also omitted. Users can focus more on the core issues they need to deal with.)