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Application of Noise-Enhanced Detection of Subthreshold Signals for Communication Systems
Hyunju HAM
Toshimasa MATSUOKA
Kenji TANIGUCHI
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E92-A No.4 pp.1012-1018
Publication Date: 2009/04/01
Online ISSN: 1745-1337
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Advanced Technologies Emerging Mainly from the 21st Workshop on Circuits and Systems in Karuizawa)
Category:
Keyword: noise,
stochastic resonance,
statistical processing,
communications system,
Full Text: PDF(608.2KB)
Summary: A signal detection system using noise statistical processing is proposed. By approaching the problems of low voltage and high noise from miniaturization of a device from a stochastic point of view, a faint-signal receiving system that can effectively detect subthreshold and noise level signals has been developed. In addition, an alternative to statistical processing is proposed, and would be successfully implemented on a circuit. For the proposed signal detection method, the detection sensitivity was investigated using numerical simulation, and the detection sensitivity was sufficiently high to detect even a signal with a signal-to-inherent-noise ratio of -14 dB. Thus, it is anticipated that the application of this system to an integrated circuit will have a significant impact on signal processing.
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