SIFT

说明：  几点说明： 1、source_main.m为主函数，qpsk.m和spread.m为子函数； 2、在matlab工程目录下运行source_main.m即可； 3、为方便大家理解，特以P-CCPCH信道的处理进行了举例，若大家认为资料有用的话请回帖， 我会将整个WCDMA下行信号源的matlab代码提供给需要的人； 4、为方便初学者学习，特提供了我自己开发时参考的3GPP资料，并在关键位置做了记号。 (Some explanations: 1, source_main.m main function, qpsk.m and spread.m as Functions 2, matlab project directory can be run source_main.m 3, to facilitate us to understand, especially for P-CCPCH channel processing of the example, if we consider the information useful, please Replies, I will put the WCDMA downlink signal source matlab code available to people in need 4, for the convenience of beginners to learn, especially when providing a reference to my own development 3GPP information, and in key positions in the mark.)

The file introduces a method for maximum power point tracking of a photovoltaic array by incremental conductance.

APF svpwm方式的matla simulink模型(Matla simulink model APF svpwm way)

brain tumor detection

说明：  Segmentation using watershed is very easily to separate the overlapping cell.

MATLAB处理的图像各种gui显示，有sobel，canny、灰度变换等。(MATLAB gui display a variety of image processing, there sobel, canny, gray transformation.)

Radio communcation Matlab source codes problems

introduce coding using Matlab

2007版EMD(经验模态分解)完整程序(2007 version of EMD (Empirical Mode Decomposition) integrity procedures)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)