hough_circle

Implementation of Heuler methods. Implicit, Explicit and Simplex Versions. In Matlab. Approximates the solution of an expression. Includes plotting routines.

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 )

这本书刘维的精通matlab于Ｃ和C++混合编程第二版，对进行对matlab优化的有很大的帮助。(The mastery book Liouville matlab in the second edition of the programming the C and C++ mixed on Matlab optimization of great help.)

学习APF过程中的读书笔记和SIMULINK仿真模型(瞬时功率理论)(APF process of learning reading notes and SIMULINK simulation model (Instantaneous Power Theory))

虽然简单，但是给我很大的启发,下载了绝对不会吃亏的，放心下吧(though easy, it taught me a lot)

Animation of swimming pool

the book describes the object oriented feature in matlab programming language in detail, and discuss how to programming in object oriented matlab.

Version 2.4(Newest Version)

基于OFDMA系统的多用户资源分配算法，论文配备MATLAB代码，入门的好教材。(— Orthogonal Frequency Division Multiple Access (OFDMA) basestations allow multiple users to transmit simultaneously on different subcarriers during the same symbol period. This paper considers basestation allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality among user data rates. Previous allocation methods have been iterative nonlinear methods suitable for ofine optimization. In the special high subchannel SNR case, an iterative root-nding method has linear-time complexity in the number of users and N logN complexity in the number of subchannels. We propose a non-iterative method that is made possible by our relaxation of strict user rate proportionality constraints. Compared to the root-nding method, the proposed method waives the restriction of high subchannel SNR, has signicantly lower complexity, and in simulation, yields higher user data rates.)

As the MAV propeller spins, it applies force to the air that passes through the propeller, increasing the momentum of the air while generating a thrust force on the MAV