基于matlab的kalman滤波
上传时间： 2014-01-20
上传用户：lht618
这是用matlab编写的一个kalman滤波器，数字信号实验维纳滤波，估计AR模型参数
上传时间： 2013-11-26
上传用户：sy_jiadeyi
基于Camshift和Kalman滤波的仿人机器人手势跟踪
上传时间： 2015-10-07
上传用户：wyc199288
基于KALMAN滤波的PID整定 有文字说明 是应用对象
上传时间： 2013-11-26
上传用户：thuyenvinh
Kalman filter simulation for a vehicle travelling along a road
标签： simulation travelling vehicle Kalman
上传时间： 2013-12-09
上传用户：BOBOniu
Kalman filter example demo in Matlab
标签： example Kalman filter Matlab
上传时间： 2013-12-26
上传用户：plsee
The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman filter, a derivation, description and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & results.
标签： introduction practical discrete purpose
上传时间： 2014-11-14
上传用户：familiarsmile
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.
标签： R.E. discrete-dat describing published
上传时间： 2015-10-22
上传用户：2404
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.
标签： R.E. discretedata describing published
上传时间： 2015-10-22
上传用户：a673761058
这是kalman滤波算法在GPS非差相位粳米澹簟定位的研究的一篇大论文。C++开发
上传时间： 2015-10-23
上传用户：ZJX5201314
