Extraction of Feature Photoacoustic Spectroscopy Probed by a Sensor against a Large Background Noise

摘要：

An algorithm of independent component analysis from blind source separation domain is used and a △λ-model strong-noise immunity is proposed in this work. The test results showed that maximal extraction error is respectively 0.28％ and 3.7％ under a SNR of 1/886 and an excellent agreementbetween the numerical simulation and the actual detection value is found, and the detection limit of test sample is improved from 16 ppb with the model based on common linear equations to 2 ppb using the proposed model.

关键词： feature photoacoustic spectroscopy extraction detection limit strong-noise immunity signal processing

作者: Zhiying Wu Yi Zhang Xin He

作者单位: Information Engineering Department, Environmental Management College of China,Qinhuangdao,066004, PR Information Engineering Department, Environmental Management College of China,Qinhuangdao,066004, PR

会议类型: 国际会议

会议名称: 2011 International Conference on Machanical Engineering,Materials and Energy(2011年机械工程、材料与能源国际会议 ICMEME 2011)

会议地点: 大连

会议语种:英文

页码: 595-598

在线出版日期: 2011-10-19（万方平台首次上网日期，不代表论文的发表时间）