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Proceedings Paper

Generalized noise resonance: using noise for signal enhancement
Author(s): Ferran Martorell; Mark D. McDonnell; Derek Abbott; Antonio Rubio
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Paper Abstract

Noise is a key factor in information processing systems. This fact will be even more critical in new technologies, as dimensions continue to scale down. New design methodologies tolerant to or even taking advantage of noise need to be considered. In this work the possibility of using stochastic resonance (SR) in electronic circuits is studied. We demonstrate the validity of nearly any kind of perturbing signal in producing a noise resonance, thus extending the stochastic resonance concept. In this paper we have explored stochastic, chaotic, deterministic and coupled noise perturbations. The relationship between input signal and input noise amplitude on the noise resonance regime is analyzed, providing a rule for operation under this situation. Finally, we present a simulation study demonstrating that noise resonance is robust to non-ideal behaviors of non-linear devices. All three facts allow direct use of generalized noise resonance (GNR) in electronic circuits.

Paper Details

Date Published: 25 May 2004
PDF: 12 pages
Proc. SPIE 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II, (25 May 2004); doi: 10.1117/12.552953
Show Author Affiliations
Ferran Martorell, Univ. Politecnica de Catalunya (Spain)
Mark D. McDonnell, The Univ. of Adelaide (Australia)
Derek Abbott, The Univ. of Adelaide (Australia)
Antonio Rubio, Univ. Politecnica de Catalunya (Spain)


Published in SPIE Proceedings Vol. 5467:
Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II
Derek Abbott; Sergey M. Bezrukov; Andras Der; Angel Sanchez, Editor(s)

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