Generalized noise resonance: using noise for signal enhancement

Ferran Martorell; Mark D. McDonnell; Derek Abbott; Antonio Rubio

doi:10.1117/12.552953

25 May 2004 Generalized noise resonance: using noise for signal enhancement

Ferran Martorell, Mark D. McDonnell, Derek Abbott, Antonio Rubio

Proceedings Volume 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II; (2004) https://doi.org/10.1117/12.552953
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain

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.

Citation Download Citation

Ferran Martorell, Mark D. McDonnell, Derek Abbott, and Antonio Rubio "Generalized noise resonance: using noise for signal enhancement", Proc. SPIE 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II, (25 May 2004); https://doi.org/10.1117/12.552953

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