摘要: 设计并实现具有硬件滤波空气清新器的信息采集系统,根据空气的复杂性以及随机性,结合自适应滤波器的原理,提出一种新的空气信息采集系统设计方法。该方法利用最小均方(LMS)自适应滤波器进行软件滤波,针对空气信息的复杂性和随机性,增加对随机复杂信息具有预测能力的LMS自适应滤波的设计,增强系统的稳定性,提高采集信息的精度,系统具有一定的预测性和智能性。
关键词:
自适应滤波,
空气信息采集,
空气清新器,
最小均方误差
Abstract: Air quality information-sampling system is an important part in the whole air cleaner system. This paper introduces an air quality information-sampling system which has been designed and made out. As the complexity and randomicity of the air, this paper raises another new system on the base of the former system. This new system includes the LMS adapter filter subsystem which can make good performers in stochastic environment. It makes the new system more steady, predictable and intelligent.
Key words:
adapter filter,
air information-sampling,
air-cleaner,
LMS
中图分类号:
冯炳枢;罗 飞;许玉格;赖 政. 基于LMS自适应滤波器信息采集系统设计[J]. 计算机工程, 2009, 35(3): 266-267,.
FENG Bing-shu; LUO Fei; XU Yu-ge; LAI Zheng. Design of Information-sampling System Based on LMS Adapter Filter[J]. Computer Engineering, 2009, 35(3): 266-267,.