Title :
Identification of subharmonic in bubble oscillations using MIMO Volterra models
Author :
Samakee, C. ; Phukpattaranont, Pornchai
Author_Institution :
Dept. of Electr. Eng., Prince of Songkla Univ., Songkhla, Thailand
Abstract :
Analysis only in filter transfer function of Volterra systems is sufficient but maybe not faultless. For this paper the identification procedures of subharmonic oscillations of ultrasound contrast agent (UCA) is described and considered impulse response functions (IRFs). The method for system identification is based on multiple-input-multiple-output (MIMO) Volterra series representation. In this work identification of the MIMO method is the theme and analysis of impulse response is considered as the target on filtering subharmonic frequency for ultrasound imaging.
Keywords :
MIMO systems; Volterra equations; Volterra series; biomedical ultrasonics; bubbles; medical image processing; nonlinear filters; oscillations; MIMO Volterra models; Volterra systems; bubble oscillations; filter transfer function; identification procedures; image filtering; impulse response functions; multiple-input-multiple-output Volterra series representation; subharmonic frequency; subharmonic identification; subharmonic oscillations; system identification; ultrasound contrast agent; ultrasound imaging; Acoustics; Imaging; Kernel; MIMO; Oscillators; Time domain analysis; Ultrasonic imaging; MIMO Volterra series; Nonlinear system identification; Subharmonic oscillation; Ultrasound contrast agent;
Conference_Titel :
Biomedical Engineering International Conference (BMEiCON), 2012
Conference_Location :
Ubon Ratchathani
Print_ISBN :
978-1-4673-4890-4
DOI :
10.1109/BMEiCon.2012.6465448