摘要
文中利用信息论的基本原理 ,建立传感器误差的信息熵模型 ,并进行传感器特性的辨识决策 ,消除了人为决策时主观因素的影响 ,由于信息熵模型符合概率统计的一般规律 。
The model of error information entropy is built based on basic information theory, and it is used in the distinguishing and decision-making of sensor characteristics, so factitious effects can be avoided when decisions are made by human beings. Because the model of information entropy conforms with basic principle of probability statistics, it can be applied to improve measuring precision of sensor.
出处
《仪表技术与传感器》
CSCD
北大核心
2000年第9期10-11,37,共3页
Instrument Technique and Sensor
关键词
概率统计
传感器
误差信息熵模型
特性辨识决策
Entropy, Sensor, Distinguishing and Decision-making, Probability Statistics
