Noise enhanced detection as a special case of randomization

Authors

Steven Kay, University of Rhode Island

Document Type

Article

Date of Original Version

12-1-2008

Abstract

It is shown in this letter that the addition of noise to data, resulting in noise enhanced detection, is equivalent to using a randomized decision rule. Since the theory of randomized decision-making is well developed, this link can be exploited to better understand the advantages, disadvantages, and general properties of noise enhanced detection. As an example, we show how some recent results can be interpreted within this more general framework. © 2008 IEEE.

Publication Title, e.g., Journal

IEEE Signal Processing Letters

Volume

15

Citation/Publisher Attribution

Kay, Steven. "Noise enhanced detection as a special case of randomization." IEEE Signal Processing Letters 15, (2008): 709-712. doi: 10.1109/LSP.2008.2001568.