Abstract Details
Activity Number:
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243
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Imaging
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Abstract #311156
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Title:
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Signal Discrimination Without Denoising
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Author(s):
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Ferebee Tunno*+ and Ashton Erwin
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Companies:
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Arkansas State University and Arkansas State University
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Keywords:
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signal plus noise ;
bounded area ;
arc length
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Abstract:
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This talk reveals that a certain class of tests for autocovariance equality between stationary autoregressive moving average (ARMA) processes can also be used to discriminate between harmonic signals embedded in noise without the need for any reconstruction or modeling. An application involving functional magnetic resonance imaging (fMRI) is presented.
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Authors who are presenting talks have a * after their name.
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