摘要
目的:研究微波热声成像中多通道的大数据量热声信号的采集保存和消除背景噪声的方法。方法:基于Lab-VIEW软件编程实现数据的采集与保存,并通过LabVIEW和C语言混合编程实现数字滤波,对热声信号中的强背景噪声进行消噪处理仿真实验。结果:数字平均滤波能够有效消除微波热声信号中的噪声,提高信噪比。结论:该方法可以有效地用于绝大部分具有周期特性的微弱信号提取和消噪处理。
Objective To design a method of multi-channel massive data-recording and de-nosing of thermo-acoustic signals with strong background noise for microwave-induced thermo-acoustic tomography.Methods A program based on LabVIEW was used to resolve the data acquisition and preservation problem.The digital filtering was realized through the mix programming of LabVIEW and C language in order to do the de-noising simulation experiments of the strong background noise in the thermo-acoustic signals.Results The average digital filtering could eliminate efficiently the noise in the microwave-induced thermo-acoustic signals and improve the signal to noise ratio（SNR）.Conclusion The de-noising method can be used efficiently for the extraction and elimination of most periodic weak signals.[Chinese Medical Equipment Journal,2012,33（6）：8-10]
出处
《医疗卫生装备》
CAS
2012年第6期8-10,共3页
Chinese Medical Equipment Journal
基金
陕西省自然科学基金项目(2011JM4034)
陕西省科技攻关项目(2010K13-02-01)
关键词
LABVIEW
热声信号
微弱信号
信噪比
数字平均
LabVIEW
thermo-acoustic signal
weak signal
signal to noise ratio（SNR）
digital average
