matlab

针对基于可见光视频图像处理的水上弱小目标检测中存在的问题， 综述目前该领域的国内外研究进展， 从动态背景建模 前景目标检测和跟踪等方面分析各种方法 算法的优势和不足， 指出目前需要解决的问题， 并展望该领域的研究前景(In view of the problems existing in small and weak target detection on the sea surface based on visible light video image processing，the research advances at home and abroad in this field are summa- rized. The advantages and limitations existing in the methods and algorithms are analyzed from several aspects including dynamic background modeling，foreground target detection and tracking. Problems which need to be solved at present are pointed out，and promising research directions in this field are proposed.)

IEEE数据大全,进行电力系统分析必备工具(IEEE data)

MATLAB程序，改进p的灰色预测m文件，可直接使用(MATLAB program, improved gray forecasting p m files can be used directly)

function nntest6(action,flag) NNTEST6 View and Control Neural network. See also SIMUFF. Koos j. den Oudsten, 1-20-99 koos@phil.uu.nl Copyright (c) 1998-99 by KoosSoft vof $Revision: 0.4 $ $Date: 1999/01/27 22:29:28 $ global Xx w1 b1 w2 b2 hidden mlp if nargin < 1 action = start end On recursive calls get all necessary handles and data. if ~strcmp(action, start ) childList = allchild(0) nn_fig = childList(find(childList == gcf)) ud = gco popupvalue = get(ud.popup, Value )

根据归一化后的原始数据曲线，进行导数变换等，然后运用自组织神经网络进行藻种识别(According to the normalized data,we use the Differential switch,and then identify the HABs using the SOM.)

说明：  单纯形法matlab程序，输入A,b,c，得到整个过程的单纯形表与最优解，最优值，每一步变换的单纯形表都有给出，完全没有错，很详细，有运行结果说明。(The simplex method matlab program, input A, B, C, get the simplex table and the optimal solution of the whole process, the optimal value, the simplex table of each step transformation are given, there is no error at all, very detailed, there are running results.)

matlab and simulink. this book book is primarily intended for first semester engineering students who are looking for an introduction to the MATLAB and Simulink environment oriented toward the knowledge and requirements of beginning students. Thus, only a few basic ideas from mathematics, in particular ordinary differential equations, programming, and physics are required to understand the contents of this book. This knowledge is usually acquired in the first two or three semesters of a technical engineering degree program. Under these conditions, this book should also be of interest for practicing engineers who are looking for a brief introduction to MATLAB and Simulink. In the case of this book, engineers will have the knowledge required to understand it years after they have finished their studies.

Development of a Sliding Mode Control System with Extended Kalman Filter Estimation for Subjugator

《精通MATLABSimulink系统仿真》主要分为三大部分，共15章。第1部分主要介绍MATLAB基础知识、Simulink仿真入门、 Simulink模型的建立与仿真、Simulink常用命令库分析等；第二部分主要为基于Simulink的S-Function 建模、控制系统Simulink仿真、基于PID的控制系统仿真等；第三部分则涉及Simulink高级应用，包括模糊逻辑控制仿真、电力系统仿真、通信系统仿真、神经网络控制仿真、滑模控制、车辆系统仿真、群智能算法控制系统仿真等。(The MATLABSimulink system simulation is mainly divided into three parts, with 15 chapters. The first part mainly introduces the basic knowledge of MATLAB, the introduction of Simulink simulation, the establishment and Simulation of the Simulink model, the analysis of the common command base of Simulink, and so on. The second part mainly consists of Simulink based S-Function modeling, the control system Simulink simulation, and the PID based control system simulation, and the third part deals with the Simulink senior should. It includes fuzzy logic control simulation, power system simulation, communication system simulation, neural network control simulation, sliding mode control, vehicle system simulation, swarm intelligence algorithm control system simulation and so on.)

MSER features detector using C and MATLAB