Least-squares-polynomial-fitting

matlab program for comm.

punya tya tentang membuat file gui matlab

我下的一本关于机械故障诊断的电子书，对初学者入门比较好(I was under a mechanical fault diagnosis on the books, started better for beginners)

飞行器自动驾驶仪的相关算法仿真功能，应用Simulink和FlightGear(Correlation algorithm simulation aircraft autopilot function, the application Simulink and FlightGear)

舰船目标的旋转运动逆合成孔径雷达成像仿真(Rotational movement of the ship target inverse synthetic aperture radar imaging simulation)

磁力计校准的MATLAB程序，使用球体拟合，最优化参数设计(Magnetometer calibration MATLAB program, using sphere fitting, optimal design parameters)

matlab mfiles实例分析，有大量的实例，每个M文件就是一个例子，有很多个。(Matlab mfiles example, a large number of examples, each M document is an example, many months.)

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 )

DFA方法，检测非平稳时间序列的波动性，用的非常普遍的方法，一种快速计算方法(DFA method)

Matlab得基础教程，其在高等数学，线性代数，数值分析中应用和实现，以及较经典的数学建模。(Matlab was based tutorial, its higher mathematics, linear algebra, numerical analysis and implementation of applications, as well as more classical mathematical modeling.)