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
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;
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
DOI :
10.1109/ICWAPR.2008.4635838
