登录
首页 » matlab » Kalman

Kalman

于 2016-03-22 发布 文件大小:338KB
0 125
下载积分: 1 下载次数: 27

代码说明:

  本手册的研究内容主要有Kalman滤波,扩展Kalman滤波,无迹Kalman滤波等,包括理论介绍和MATLAB源程序两部分。本手册所介绍的线性滤波器,主要是Kalman滤波和α-β滤波,交互多模型Kalman滤波,这些算法的应用领域主要有温度测量、自由落体,GPS导航、石油地震勘探、视频图像中的目标检测和跟踪(kalman and Application)

文件列表:

Kalman.doc,460800,2016-03-22

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论


0 个回复

  • DeliveryInd
    Empty constructor Source Code for Andriod.
    2013-11-14 22:45:53下载
    积分:1
  • m3
    说明:  the file simulation in simulink matlab
    2013-08-06 22:25:19下载
    积分:1
  • sig_sub_a
    BLOCK-BASED SIGNAL SUBSPACE PROCESSING FOR DETECTING CHANGE OR TARGET REGISTRATION
    2012-05-04 03:29:49下载
    积分:1
  • kalmanshu
    卡尔曼滤波算法的MATLAB源码程序,及其应用(Kalman filtering algorithm MATLAB source programs, and its application)
    2007-06-18 08:25:14下载
    积分:1
  • ofdma3
    orthogonal frequncy dma
    2011-01-30 22:17:38下载
    积分:1
  • dos
    another progaram that has been in matlab
    2013-07-11 09:36:50下载
    积分:1
  • jiqirenxueshiyan
    该资料为机器人学的实验材料,包括仿真软件,实验题目以及实验解答(The data for the robotics experiment materials, including simulation software, test questions and test answers)
    2010-06-13 23:53:42下载
    积分:1
  • GrayCodedMQAMoverRayleigh
    Simulation of Gray coded MQAM in Rayleigh fading
    2020-10-23 17:27:22下载
    积分:1
  • motor_on_3to2
    基于坐标变换的三相交流异步电机模型,采用maltab/simulink建立的模型,三相交流电压型输入。(Motor model based on coordinate transformation maltab/simulink established model, three-phase AC voltage input.)
    2012-11-01 13:12:08下载
    积分:1
  • 最新的支持向量机工具箱,有了它会很方便-svm_v0.55beta
    最新的支持向量机工具箱,有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)
    2005-03-29 14:06:00下载
    积分:1
  • 696518资源总数
  • 105205会员总数
  • 10今日下载