MATLAB-tutorial

jugal beam analysis m file in matlab

说明：  用计算机模拟四步相移的数字全息图，并取得他的包裹相位(Computer simulation of the four-step phase shifting digital hologram, and made him the wrapped phase)

说明：  尿沉渣图像识别，采用形态学图像分割，som进行识别！(urine image recognition, image segmentation using morphological, som identification!)

matlab assignment 002

数字信号处理中，布特沃斯滤波器设计。很好的东西。(Digital signal processing, Butterworth filter design. A good thing.)

Abstract—We propose two novel energy-aware routing algorithms for wireless ad hoc networks, called reliable minimum energy cost routing (RMECR) and reliable minimum energy routing (RMER). RMECR addresses three important requirements of ad hoc networks: energy-efficiency, reliability, and prolonging network lifetime. It considers the energy consumption and the remaining battery energy of nodes as well as quality of links to find energy-efficient and reliable routes that increase the operational lifetime of the network. RMER, on the other hand, is

说明：  认知无线电中频谱感知技术的AM信号能量检测技术和周期平稳检测技术(Spectrum sensing in cognitive radio technologies AM signal energy detection and cyclostationary detection)

bm3d图像去噪算法，3个文件 用于处理灰度图像(version 1.7 grey image)

双圆孔弗朗合肥衍射仿真，MATLAB,远场衍射。(DOUBLE FRAUHOFER )

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.)