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Proceedings Paper

Analog-to-digital conversion using suprathreshold stochastic resonance
Author(s): Mark D. McDonnell; Nigel G. Stocks; Charles E. M. Pearce; Derek Abbott
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Paper Abstract

We present an analysis of the use of suprathreshold stochastic resonance for analog to digital conversion. Suprathreshold stochastic resonance is a phenomenon where the presence of internal or input noise provides the optimal response from a system of identical parallel threshold devices such as comparators or neurons. Under the conditions where this occurs, such a system is effectively a non-deterministic analog to digital converter. In this paper we compare the suprathreshold stochastic resonance effect to conventional analog to digital conversion by analysing the rate-distortion trade-off of each.

Paper Details

Date Published: 28 February 2005
PDF: 10 pages
Proc. SPIE 5649, Smart Structures, Devices, and Systems II, (28 February 2005); doi: 10.1117/12.582493
Show Author Affiliations
Mark D. McDonnell, The Univ. of Adelaide (Australia)
Nigel G. Stocks, Univ. of Warwick (United Kingdom)
Charles E. M. Pearce, The Univ. of Adelaide (Australia)
Derek Abbott, The Univ. of Adelaide (Australia)


Published in SPIE Proceedings Vol. 5649:
Smart Structures, Devices, and Systems II
Said F. Al-Sarawi, Editor(s)

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