TY - GEN
T1 - Ultrasonic echo signal feature identification using lifting scheme
AU - Jiang, Hongkai
AU - Dou, Dandan
PY - 2010
Y1 - 2010
N2 - To identify ultrasonic echo feature of hydraulic system ultrasonic non-intrusive measurement signal corrupted by noise, a new method to design wavelet according to the signal characteristic is developed. This method is based on lifting scheme, the initial set of finite biorthogonal filters is followed by lifting and dual lifting, and different lifting operators and dual lifting operators are obtained, and then new wavelet with particular properties is constructed. According to the noise characteristic at decomposition level, the de-noising threshold adaptively calculated. The ultrasonic signal is de-noised and recovered, and the ultrasonic characteristics in time domain are extracted. New constructed wavelet is applied in the signal de-noising of ultrasonic echo signal, ultrasonic echo wave crest and the time interval in time domain are desirably identified. The results confirm that new constructed wavelet outperforms the traditional wavelet method.
AB - To identify ultrasonic echo feature of hydraulic system ultrasonic non-intrusive measurement signal corrupted by noise, a new method to design wavelet according to the signal characteristic is developed. This method is based on lifting scheme, the initial set of finite biorthogonal filters is followed by lifting and dual lifting, and different lifting operators and dual lifting operators are obtained, and then new wavelet with particular properties is constructed. According to the noise characteristic at decomposition level, the de-noising threshold adaptively calculated. The ultrasonic signal is de-noised and recovered, and the ultrasonic characteristics in time domain are extracted. New constructed wavelet is applied in the signal de-noising of ultrasonic echo signal, ultrasonic echo wave crest and the time interval in time domain are desirably identified. The results confirm that new constructed wavelet outperforms the traditional wavelet method.
KW - Feature identification
KW - Lifting scheme
KW - Ultrasonic echo signal
UR - http://www.scopus.com/inward/record.url?scp=79955768327&partnerID=8YFLogxK
U2 - 10.1109/ISDEA.2010.427
DO - 10.1109/ISDEA.2010.427
M3 - 会议稿件
AN - SCOPUS:79955768327
SN - 9780769542126
T3 - Proceedings - 2010 International Conference on Intelligent System Design and Engineering Application, ISDEA 2010
SP - 793
EP - 797
BT - Proceedings - 2010 International Conference on Intelligent System Design and Engineering Application, ISDEA 2010
PB - IEEE Computer Society
ER -