1) Fisher new information gain
费歇信息增量
1.
After analyzing the application of sequential Kalman filter in multisensor and multitarget,a new assignment method for multisensor to multitarget based on the Fisher new information gain in target tracking is proposed.
在对序贯Kalman滤波在多传感器多目标跟踪中的应用情况进行分析之后,提出了一种基于费歇信息增量的多传感器对多目标的分配方法。
2) Fisher information measure
费歇尔信息测度
3) information gain
信息增量
1.
Regarding target information gain from observation as performance index,an optimal decision model based on maneuvering multi-targets is proposed.
对机动目标采用交互式多模型运动建模,推导了交互式多模型下的传感器信息增量算法,提出了一种基于信息增量的机动目标传感器管理算法,结果表明了该分配算法的有效性。
2.
An optimizing algorithm based on information gain is put forward for multisensor detection and classification of multitargets.
基于信息增量提出了一种多传感器对多目标检测与分类的优化算法。
3.
In this algorithm,discrimination via,information gain is obtained by measurement update and Markov transform update of joint multi-target probability using RIMM,and then the sensor resource is distributed by maximizing information gain.
首先利用RIMM对联合多目标概率的量测更新和马尔可夫转移更新求取分辨力也即信息增量,然后利用信息增量最大化来分配传感器资源。
4) incremental information
增量信息
1.
Reasons of the incremental information occurring in updating spatial database;
空间数据库更新过程中增量信息产生原因分析
2.
For keeping reality of user s database,the incremental information created by updating need to be given to users in time.
为了保持用户数据库现势性,需将数据库更新过程中产生的增量信息及时发布给用户。
5) Fisher information
费雪信息量
补充资料：好一歇
1.较久的时间。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条