JAWABAN-A

极化SAR，pauli分解San Francisco地区RGB合成图(Polarization SAR Pauli decomposition San Francisco RGB composite image)

用matlab编写的ukf算法，有例子，适合初学者(Written ukf with matlab algorithms, there are examples, suitable for beginners)

说明：  《精通MATLAB7.0混合编程》系统地介绍MATLAB 7.0的混合编程方法和技巧。全书共分为13章。第1章和第2章介绍MATLAB的基础知识，第3章简要介绍MATLAB混合编程，第4章至第9章分别介绍几种典型的混合编程方法，包括C-MEX、MATLAB引擎、MAT数据文件共享、Mideva、Matrix和Add-in。第10章、第11章介绍MATLAB与Delphi和Excel的混合编程。第12章介绍MATLAB COM Builder，第13章以图像处理为例介绍了一个综合应用实例。 本书按混合编程的具体方法进行逻辑编排，自始至终用实例描述，每章着重阐述各种混合编程方法的实质和要点，同时穿插了作者多年使用MATLAB的经验和体会。本书既适合初学者自学，也适用于高级MATLAB用户，可作为高等数学、计算机、电子工程、数值分析、信息工程等课程的教学参考书，也可供上述领域的科研工作者参考。 这里是本书所有源码压缩包，内容详尽、实例丰富，包含MATLAB实例的源文件、函数/命令和注解以及程序实例。 ("proficient MATLAB7 mixed programming" system introduced in MATLAB 7.0 Mixed Programming methods and techniques. The book is divided into 13 chapters. Chapter 1 and Chapter 2 on the basis of knowledge MATLAB, Chapter 3 briefed Matlab. Chapter 4-Chapter 9, respectively introduced several typical mixed programming, including C-MEX, MATLAB engine, MAT data file sharing, Mideva, Matrix and the Add-in. Chapter 10, Chapter 11 and Delphi on MATLAB and Excel hybrid programming. Chapter 12 on MATLAB COM Builder, chapter 13 for image processing as an example of a composite application. The book by the mixed programming methods for the specific logic layout description throughout example, Each chapter focuses on a combination of programming and real elements, while full of the author's )

《MATLAB 7.0基础教程 孙祥 编著 清华大学出版社》pdf("MATLAB 7 Essentials Sun Xiang edited by Tsinghua University Press," pdf. )

matlab遗传算法，一个排课程序的例子(matlab genetic algorithm, a course scheduling program example)

说明：  继续上次传的简单遗传算法，本次加入啦总体部分。(Continue to the last mass of the simple genetic algorithm, this time adding a whole part of you.)

record, save, append & play files of audio

MATLAB程序，针对图片翻转变换，简单有效(MATLAB programs for image flip transformation, simple and effective)

这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。(function [f, g] = dggbeta(beta, absx) DGGBETA Derivative of generalized Gaussian pdf with respective to beta [F, G] = DGGBETA(BETA, ABSX) Return partial derivative and second order partial derivative This is an utility function for GGMLE ABSX is the distance of the data from the mean Function is undefined for negative beta if beta <= 0 f = NaN g = NaN )

该程序可以实现点击或者拖拽鼠标，从而在相应的轨迹上画出图像的功能。(The program can click or drag your mouse to draw the trajectory in the corresponding image features.)