Local signal to noise ratio

Lorenzo Galleani; Leon Cohen; Douglas Nelson

doi:10.1117/12.684026

5 September 2006 Local signal to noise ratio

Lorenzo Galleani, Leon Cohen, Douglas Nelson

Proceedings Volume 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI; 63130Q (2006) https://doi.org/10.1117/12.684026
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

Citation Download Citation

Lorenzo Galleani, Leon Cohen, and Douglas Nelson "Local signal to noise ratio", Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130Q (5 September 2006); https://doi.org/10.1117/12.684026

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available