Title :
Ultrasonic Echo Signal Feature Identification Using Lifting Scheme
Author :
Jiang, Hongkai ; Dou, Dandan
Author_Institution :
Sch. of Aeronaut., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
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.
Keywords :
echo; signal denoising; ultrasonic applications; wavelet transforms; dual lifting operator; finite biorthogonal filter; hydraulic system ultrasonic non-intrusive measurement signal; lifting scheme; noise characteristic; signal characteristic; time domain; ultrasonic echo signal feature identification; ultrasonic echo wave crest; ultrasonic signal denoising threshold; wavelet method; Feature extraction; Filter banks; Noise; Noise reduction; Wavelet transforms; feature identification; lifting scheme; ultrasonic echo signal;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
DOI :
10.1109/ISDEA.2010.427