DocumentCode
2988293
Title
Auto-detection of dew point using wavelet transformation
Author
Sun, Ying ; Chen, Zhao-xue ; Ye, Ying
Author_Institution
Coll. of Med. Instrum. & Foodstuff, Univ. of Shanghai for Sci. & Technol., Shanghai
Volume
2
fYear
2008
fDate
30-31 Aug. 2008
Firstpage
535
Lastpage
540
Abstract
In this paper, the Mallat algorithm of wavelet transformation is adopted to determine the deflection point of the temperature curve in the dew-point auto-detection instruments. By this method, the useful signal can be effectively extracted out of intensive background noise, and highly repeatable value of the deflection point can be obtained in only 3-5 measurements. Compared with the traditional method, the approach introduced in this paper can considerably reduce the testing time and increase the accuracy & stableness greatly during dew-point auto-detection measurements.
Keywords
automatic test equipment; condensation; optical testing; wavelet transforms; Mallat algorithm; dew point autodetection; wavelet transformation; Background noise; Cooling; Instruments; Pattern analysis; Pattern recognition; Smoothing methods; Temperature; Testing; Time measurement; Wavelet analysis; Auto-detection; Dew point; Wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-2238-8
Electronic_ISBN
978-1-4244-2239-5
Type
conf
DOI
10.1109/ICWAPR.2008.4635838
Filename
4635838
Link To Document