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Proceedings Paper

Quantizer-based suboptimal detectors: noise-enhanced performance and robustness (Invited Paper)
Author(s): Cedric Duchene; Pierre-Olivier Amblard; Steeve Zozor
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Paper Abstract

The goal of the paper is the study of suboptimal quantizer based detectors. We place ourselves in the situation where internal noise is present in the hard implementation of the thresholds. We hence focus on the study of random quantizers, showing that they present the noise-enhanced detection property. The random quantizers studied are of two types: time invariant when sampled once for all the observations, time variant when sampled at each time. They are built by adding fluctuations on the thresholds of a uniform quantizer. If the uniform quantizer is matched to the symmetry of the detection problem, adding fluctuation deteriorates the performance. If the uniform quantizer is mismatched, adding noise can improve the performance. Furthermore, we show that the time varying quantizer is better than the time invariant quantizer, and we show that both are more robust than the optimal quantizer. Finally, we introduce the adapted random quantizer for which the levels are chosen in order to approximate the likelihood ratio.

Paper Details

Date Published: 23 May 2005
PDF: 11 pages
Proc. SPIE 5847, Noise in Communication Systems, (23 May 2005); doi: 10.1117/12.609355
Show Author Affiliations
Cedric Duchene, Lab. des Images et des Signaux/CNRS and ENSIEG (France)
Pierre-Olivier Amblard, Lab. des Images et des Signaux/CNRS and ENSIEG (France)
Steeve Zozor, Lab. des Images et des Signaux/CNRS and ENSIEG (France)


Published in SPIE Proceedings Vol. 5847:
Noise in Communication Systems
Costas N. Georghiades; Langford B. White, Editor(s)

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