kalman filter

基本解釋

The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
移動(dòng)機(jī)器人的導(dǎo)航子系統(tǒng)利用卡爾曼濾波器，融合由視覺(jué)系統(tǒng)與由里程計(jì)獲得的位置估計(jì)值。
An image communication system over the time varying channels with Kalman filter tracking method is proposed in this paper, based on multi-antenna and the channel coding for good performance.
為得到高質(zhì)量的傳輸圖像，基于多天線通信系統(tǒng)，采用卡爾曼濾波跟蹤方法對(duì)時(shí)變信道進(jìn)行跟蹤以獲得更高的系統(tǒng)性能，并增加信道編碼。
With the Kalman filter approach, the empirical research shows the model reconciles the time-series dynamics of yields with the cross-sectional shapes of the term structure.
通過(guò)卡爾曼濾波法對(duì)模型的實(shí)證分析，證實(shí)該模型基本上能在時(shí)間序列和橫截面兩個(gè)維度上與實(shí)際數(shù)據(jù)相符合。