Paper Info
Title
Reducing the Complexity of Orthogonal Code Based Synthetic Aperture Ultrasound System
Abstract
In this paper, we propose several techniques to reduce the computation complexity of orthogonal chirp and orthogonal Golay code based synthetic aperture ultrasound systems. First, we minimize the complexity in terms of number of effective multiplications by choosing the system parameters for a specified SNR gain. The proposed method helps in reducing the complexity by about 20. Next, we consider a system that compensates for body motion. We reduce the complexity of motion compensation first by doing the calculations in polar domain, and second, by making use of the correlation in motion velocity field in a small neighborhood. These approximations reduce the computation complexity by3000 with minimal performance penalty.
Year
DOI
Venue
2012
10.1109/SiPS.2012.44
SiPS
Keywords
Field
DocType
orthogonal coded excitation,motion compensation,polar domain,image coding,ultrasonic imaging,minimal performance penalty,effective multiplication,golay code,orthogonal chirp,body motion,synthetic aperture ultrasound system,golay codes,orthogonal code-based synthetic aperture ultrasound system,orthogonal codes,biomedical ultrasonics,orthogonal golay code,synthetic aperture ultrasound,specified snr gain,computational complexity,computation complexity,orthogonal code,system parameter,motion velocity field,chirp,orthogonal olay code,medical image processing,computation complexity reduction
Synthetic aperture radar,Computer science,Motion compensation,Artificial intelligence,Computer vision,Vector field,Parallel computing,Algorithm,Chirp,Binary Golay code,Worst-case complexity,Computation complexity,Computational complexity theory
Conference
ISSN
ISBN
Citations 
2162-3562
978-1-4673-2986-6
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Ming Yang161.69
Siyuan Wei2305.91
Chaitali Chakrabarti31978184.17