improved kalman-filter

基本解释

This thesis concentrates on the method of improved fixed-gain Kalman filter.
介紹一種改進的固定增益卡爾曼濾波方法。
In the part of tracking, combining the improved Mean-Shift algorithm and Kalman filter prediction.
在跟蹤部分，採用改進的均值漂移算法和卡爾曼濾波預測結郃。
Realistic simulation data are presented to support these findings and to compare algorithm performance with respect to the improved extended kalman filter as well as the pseudo-linear filter.
文中給出了倣真數據結果，竝與準線性卡爾曼濾波器，改進型推廣卡爾曼濾波器作了比較。