DocumentCode
831584
Title
Confidence intervals for the signal-to-noise ratio when a signal embedded in noise is observed over repeated trials
Author
Raz, Jonathan ; Turetsky, Bruce ; Fein, George
Author_Institution
Dev. Neuropsychol. Lab., Veterans Adm. Med. Center, San Francisco, CA, USA
Volume
35
Issue
8
fYear
1988
Firstpage
646
Lastpage
649
Abstract
The problem of estimating the signal-to-noise ratio (SNR) when repeated measurements are made of a deterministic signal embedded in random noise is considered. An estimator is described, its asymptotic distribution is derived, and a method for constructing confidence intervals is proposed. The performance of the method is evaluated using simulated evoked potential data, and an application to real evoked potential data is presented.
Keywords
bioelectric potentials; asymptotic distribution; confidence intervals; deterministic signal; random noise; signal embedded in noise; signal-to-noise ratio; simulated evoked potential data; Analytical models; Biomedical measurements; Brain modeling; Computational modeling; Humans; Noise measurement; Parameter estimation; Signal to noise ratio; Statistical distributions; Yield estimation; Computer Simulation; Evoked Potentials, Auditory; Humans; Models, Statistical; Signal Transduction;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.4598
Filename
4598
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