节点文献
信息压缩阵在传感器智能化功能实现中的应用
Application of Information Compression Matrix in Intelligentize Function of Sensor
【摘要】 传感器的智能化功能包括非线性校正、自校零与自校准、噪声抑制、自补偿、自诊断等 ,最小二乘法能较好地实现这些功能。而最小二乘法中模型的阶次和参数的确定是非常重要的 ,信息压缩阵能够方便地实现阶次和参数的同时确定 ,简化了运算 ,提高了工作效率。本文主要讨论了信息压缩阵在非线性校正中的应用。
【Abstract】 The intelligentize function of sensor includes nonlinear correction, self zero correction, self accurate correction, noise restrain, self compensate,self diagnose, etc., LS algorithmic can realize these functions. So ascertain the rank and parameter of the LS model is very important, information compression matrix can ascertain rank and parameter in the same time conveniently, reduce the operation, improve the efficiency. This article mainly discusses the application of the information compression matrix in nonlinear correction.
【关键词】 智能传感器;
信息压缩阵;
非线性校正;
CAR模型;
【Key words】 intelligent sensor; information compression matrix; nonlinear correction; CAR model;
【Key words】 intelligent sensor; information compression matrix; nonlinear correction; CAR model;
- 【文献出处】 现代电子技术 ,Modern Electronic Technique , 编辑部邮箱 ,2004年17期
- 【分类号】TP212
- 【下载频次】31