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Abstract Details

Activity Number: 327
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Business and Economic Statistics Section
Abstract - #304595
Title: Alias Detection and Spectral Estimation Within Locally Stationary Random Fields
Author(s): Idris Eckley*+ and Aimée Gott
Companies: Lancaster University and Lancaster University
Address: LA1 4YF , Lancaster, , United Kingdom
Keywords: locally stationary processes ; aliasing ; random fields

Aliasing occurs when power exists in an image at frequencies higher than the Nyquist rate (which is determined by the sampling rate). When it occurs, aliasing causes high frequency information to wrap round and mimic power at lower frequencies - as such it can have a deleterious effect on an analysis. For locally stationary random fields the situation can be a bit different in that aliasing can be intermittent, depending on whether the spectrum locally contains frequencies higher than the Nyquist rate or not. This talk will introduce recent work on the problem of alias detection and spectral correction within such two-dimensional processes.

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