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Proceedings Paper

Local signal to noise ratio
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Paper Abstract

We argue that the standard definition of signal to noise ratio may be misleading when the signal or noise are nonstationary. We introduce a new measure that we call local signal to noise ratio (LSNR) which is well suited to take into account nonstationary situations. The advantage of our measure is that it is a local property unlike the standard SNR which is a single number representing the total duration of the signal. We simulated a number of cases to show that our measure is more indicative of the noise and signal level for nonstationary situations.

Paper Details

Date Published: 5 September 2006
PDF: 9 pages
Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130Q (5 September 2006); doi: 10.1117/12.684026
Show Author Affiliations
Lorenzo Galleani, City Univ. of New York (United States)
Leon Cohen, City Univ. of New York (United States)
Douglas Nelson, U.S. Dept. of Defense (United States)


Published in SPIE Proceedings Vol. 6313:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
Franklin T. Luk, Editor(s)

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