1-D fast normalized cross-correlation using additions
- Authors
- Yoo, JC[Yoo, Jae-Chern]; Choi, BD[Choi, Byoung Deog]; Choi, HK[Choi, Hyoung-Kee]
- Issue Date
- Sep-2010
- Publisher
- ACADEMIC PRESS INC ELSEVIER SCIENCE
- Keywords
- Normalized cross-correlation; Correlation coefficient; Scaling factor; Signal to noise ratio (SNR)
- Citation
- DIGITAL SIGNAL PROCESSING, v.20, no.5, pp.1482 - 1493
- Indexed
- SCIE
SCOPUS
- Journal Title
- DIGITAL SIGNAL PROCESSING
- Volume
- 20
- Number
- 5
- Start Page
- 1482
- End Page
- 1493
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/73483
- DOI
- 10.1016/j.dsp.2010.01.002
- ISSN
- 1051-2004
- Abstract
- A new fast algorithm for the computation of the normalized cross-correlation (NCC) is presented. For a search window of size M and a template of size N, our fast NCC requires only approximately 3N.(M - N + 1) additions/subtractions without multiplications. Numerical results with 100,000 test signals show that the use of the fast NCC instead of the traditional approaches for the determination of the degree of similarity between a test signal and a reference signal (template) brings about a significant improvement in terms of false negative rate, identification rate and computational cost without a significant increase in false positive rate, especially when signal to noise ratio (SNR) is higher than 4 dB. (C) 2010 Elsevier Inc. All rights reserved.
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- Appears in
Collections - Computing and Informatics > Computer Science and Engineering > 1. Journal Articles
- Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles
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