Noise Enhancement for Weighted Sum of Type I and II Error Probabilities with Constraints

Noise Enhancement for Weighted Sum of Type I and II Error Probabilities with Constraints

In this paper, the noise-enhanced detection problem is investigated for the binary hypothesis-testing. The optimal additive noise is determined according to a criterion proposed by DeGroot and Schervish (2011), which aims to minimize the weighted sum of type I and II error probabilities under constr...

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Bibliographic Details
Main Authors: Shujun Liu, Ting Yang, Kui Zhang
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Entropy
Subjects:
noise enhancement
hypothesis testing
weighted sum
error probability
Online Access:http://www.mdpi.com/1099-4300/19/6/276

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http://www.mdpi.com/1099-4300/19/6/276

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