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本书详细介绍了用Maple和MATLAB解决科学计算问题，有很多的实例供大家学习 。(The book details the use of Maple and MATLAB to solve the issue of scientific computing, there are many examples of learning for everyone.)

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 )

高斯拟合的应用，在曲线方面的应用，个人认为很有用(Gaussian fitting of the application, the application of the curve, think useful)

用黄金分割法来求解函数的极小点，不用求函数的导数，只需进行迭代即可,非精确线搜索技术用于解决极值区间(Golden section method to solve the minimum point of the function, do not seek the derivative of a function, simply iteration can be inexact line search techniques for solving extremal interval)

it is the program for echo cancellor using the rls algorithm

使用matlab语言编程求解一维热传导方程(Using the matlab programming language for solving one dimensional heat conduction equation)

souce code program matlab....

是用MATLAB作的SSB实现的解调与调制(MATLAB　　SSB)

基于MATLAB的GPS专业知识的实现（内含5个以上的源代码）(MATLAB-based implementation of GPS expertise (containing more than 5 of the source code))

基于最小二乘支持向量机的模式识别，特征向量为滚动轴承的能量百分比和峭度系数(Pattern recognition based on least squares support vector machine (SVM), the percentage of energy eigenvector for rolling bearing and kurtosis coefficient)