求解常规偏微分方程的MATLAB程序pdebc

Alamouti space time coding simulation Maximal Ratio Combining BER simulation

matlab design of butterworth lowa pass filter

自己用matlabgui设计的小程序，用于录入学生考试成绩(Designed small procedures to facilitate the entry of results)

说明：  微电网的提出旨在实现分布式电源的灵活、高效应用，解决数量庞大、形式多样的分布式电源并网问题 。 开发和延伸微电网能够充分促进分布式电源与可再生能源的大规模接入，实现对负荷多种能源形式的高可靠供给，是实现主动式配电网的一种有效方式，使传统电网向智能电网过渡。(The purpose of micro grid is to realize the flexible and efficient application of distributed power, and to solve the problem of large number and various forms of distributed power grid connection. The development and extension of micro grid can fully promote the large-scale access of distributed power and renewable energy, and realize the high reliable supply of various energy forms of load. It is an effective way to realize the active distribution network, and make the traditional power grid transition to the smart grid.)

< Matlab遗传算法工具箱及应用>> 配套的遗传算法工具箱 gatbx(<Matlab genetic algorithm toolbox and application>> matching the genetic algorithm toolbox gatbx)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。本程序实现了基于kalman的目标跟踪。(Kalman filter is an efficient recursive filter (autoregressive filter), it can not completely contain from a series of noise measurements (in English: measurement), the estimated dynamical systems. Based on the Program for target tracking kalman.)

Research in motion analysis has evolved over the years as a challenging field. Moving object detection and tracking is of major interest in applications such as traffic monitoring, military, medicine and biological sciences etc. In this a new algorithm is proposed for the detection and tracking of moving objects. The image sequence is taken from the digital camera. After preprocessing, the first two frames from the image sequence are segmented by using 8 component connectivity.

这个程序是在MATLAB编程环境下电力系统中14节点的潮流求解程序，运用的是PQ解耦法。(This program is in the MATLAB programming environment in the 14-bus power system under the current solver, using the PQ decoupling method.)

这是一个很基本的pso算法的matlab的源码。比较的简单，但是可以再这个基础上修改的(This is a very basic PSO algorithm matlab source code. Comparison of the simple, but can be modified based on this)