MatlabToolboxiRobotCreate

最近在看hl2,发现mdl模型必须从36转到37,哈哈,恰好看到此贴,非常感谢。(recently watching hl2, mdl model must be found from 36 to 37, haha, just to see patch. Thank you very much.)

一个用fortran90写成的BVP（ODE）的求解器，作者是写matlab函数bvp4c的作者。原理差不多。不过这个版本是用f90写的，运算速度更快。本包内含如何运这些程序的论文及算例，很好上手。(In the declarations part of this module, we first define the BVP_SOL type, which represents the numerical solution. We next define the interface BVP_INIT, which is overloaded to provide a number of functions for allowing the user to specify initial information for the computation, the interface BVP_EXTEND, which is overloaded to provide functions for extending the numerical solution to a new domain that are useful in the context of parameter continuation, and the interface BVP_EVAL, which is overloaded to provide a function for retrieving solution information. Next a number of global variables employed throughout the code are defined. )

本文详尽阐述了如何在matlab环境下使用matlab 7.0，教程，pdf版本(This article elaborates how to use the matlab environment matlab 7.0, tutorial, pdf version)

在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications)

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the presence of noise.

求解矩阵的LU分解和逆，两种一般方法求解线性方程组的解。(LU matrix factorization and solving the inverse, two general methods for solving linear equations.)

Digital Signal Processing Using MATLABr and Wavelets is a ebook contain basic matlab code

基于比例积分的蔡氏电路控制仿真，第一平衡点处镇定(Chua s circuit based on proportional integral control simulation, the first stabilization of the equilibrium point)

本书主要讲述以MATLAB为分析工具的量化投资，有 MATLAB入门 、“MATLAB量化投资基础”和“MATLAB量化投资相关函数详解”3篇组成。(This book focuses on MATLAB as analytical tools to quantify investment, " MATLAB Started" , " MATLAB-based quantitative investment" and " MATLAB Detailed quantitative investment related functions" three components.)

说明：  FSK差分检波系统仿真的课程设计 本课程设计主要利用MATLAB集成环境下的Simulink仿真平台，设计一个FSK信号差分检波系统。观察FSK调制前后的信号波形,并对调制前后信号的频谱进行分析,再以调制信号为输入，构建差分检波解调系统电路，观察解调前后的信号波形，并对解调前后信号的频谱进行分析。加入噪声分析通过三种不同信道FSK信号差分检波系统接受信号的性能。仿真结果，基本达到课程设计要求。(FSK differential detection system simulation of the curriculum design of this course the main use of MATLAB integrated design environment of Simulink simulation platform, the design of a FSK signal differential detection system. Observed before and after FSK modulation signal waveforms, and modulation signal spectrum before and after analysis, and then modulated signal as input, build a system of differential detection demodulator circuits, observe the pre-and post-demodulation signal waveforms, and signal demodulation spectrum before and after analysis. Adding noise analysis through the three different channel FSK signal differential signal detection system to accept performance. The simulation results, the basic courses to meet the design requirements.)