基于matlab的kalman濾波
上傳時間： 2014-01-20
上傳用戶：lht618
這是用matlab編寫的一個kalman濾波器，數字信號實驗維納濾波，估計AR模型參數
上傳時間： 2013-11-26
上傳用戶：sy_jiadeyi
基于Camshift和Kalman濾波的仿人機器人手勢跟蹤
上傳時間： 2015-10-07
上傳用戶：wyc199288
基于KALMAN濾波的PID整定 有文字說明 是應用對象
上傳時間： 2013-11-26
上傳用戶：thuyenvinh
Kalman filter simulation for a vehicle travelling along a road
標簽： simulation travelling vehicle Kalman
上傳時間： 2013-12-09
上傳用戶：BOBOniu
Kalman filter example demo in Matlab
標簽： example Kalman filter Matlab
上傳時間： 2013-12-26
上傳用戶：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.
標簽： introduction practical discrete purpose
上傳時間： 2014-11-14
上傳用戶：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.
標簽： R.E. discrete-dat describing published
上傳時間： 2015-10-22
上傳用戶：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.
標簽： R.E. discretedata describing published
上傳時間： 2015-10-22
上傳用戶：a673761058
這是kalman濾波算法在GPS非差相位粳米澹簟定位的研究的一篇大論文。C++開發
上傳時間： 2015-10-23
上傳用戶：ZJX5201314
