MATLAB_svm

我们提出了一种新的方法来实现全光 微波使用光纤布拉格光栅阵列滤波 相同的反射率。确定了过滤器攻丝系数 通过一个宽带光源的光谱分布和 光栅的中心波长。由于光纤布拉格 光栅有相同的反射率，其特征 高均匀度的光栅是可能的，从而简化了 光纤布拉格光栅的制作，降低了实现 错误。此外，该宽带光的光谱分布 源可以控制使用的光学过滤器，可用于 控制滤波器系数的滤波器的旁瓣抑制。一个 微波滤波器采用四个光纤布拉格光栅的实验 实施。 (We propose a novel approach to realizing all-optical microwave filtering using an array of fiber Bragg gratings with identical reflectivities. The filter tapping coefficients are determined by the spectrum profile of a broadband light source and the central wavelengths of the gratings. Since the fiber Bragg gratings have identical reflectivities, the characteristics of the gratings with high uniformity are possible, which simplifies the fiber Bragg grating fabrication and reduces the implementation error. In addition, the spectrum profile of the broadband light source can be controlled using an optical filter, which could be used to control the filter coefficients to suppress the filter sidelobes. A microwave filter using four fiber Bragg gratings is experimentally implemented.)

this is a document on digital image processing and fingure print classification as well..

Polynom for transfer function tf (1, c)

专家PID控制matlab代码M文件。具有响应快速，无超调的特点。(Expert PID control matlab code M-file. Has a fast response, no overshoot characteristics.)

说明：  Power syetem using simulink - arabic

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

线性相位FIR低通滤波器和48阶带通滤波器，并进行了比较的源程序。(Linear phase FIR low-pass filter and 48-order band-pass filter, and a comparison of the source.)

MATLAB编程入门，适合初学者的学习，如果有需要的请下载。。。(Getting Started with MATLAB programming, suitable for beginners to learn, if necessary, download. . .)

demonstrates the binomial method

Monte-carlo _Particle filter based localisation in a field of beacons. oxford class work