摘要
在深入分析阈值随机共振系统模型的基础上,提出了一种基于最大互相关系数的方法来进行混合气体的分类识别。实验结果表明,该分类方法准确可行,为分类识别提供了一种新的思路和方法。
A novel method of ＂maximum cross-correlation coefficients＂ based on suprathreshold stochastic resonance （SSR） was proposed in the paper to classify the multi-gas. The experimental results showed that this algorithm got high accuracy, which provided a new method for the recognition of gaseous ambiguity.
出处
《电子技术应用》
北大核心
2009年第7期88-90,94,共4页
Application of Electronic Technique
基金
国家自然科学基金资助项目(3040000461)
郑州市科技攻关项目(083SGYG24123-2)
关键词
阈上随机共振
互相关系数
气体识别
气敏传感器
suprathreshold stochastic resonance
cross-correlation coefficient
gas recognition
gas sensor
