Paper
28 February 2005 Analog-to-digital conversion using suprathreshold stochastic resonance
Author Affiliations +
Proceedings Volume 5649, Smart Structures, Devices, and Systems II; (2005) https://doi.org/10.1117/12.582493
Event: Smart Materials, Nano-, and Micro-Smart Systems, 2004, Sydney, Australia
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark D. McDonnell, Nigel G. Stocks, Charles E. M. Pearce, and Derek Abbott "Analog-to-digital conversion using suprathreshold stochastic resonance", Proc. SPIE 5649, Smart Structures, Devices, and Systems II, (28 February 2005); https://doi.org/10.1117/12.582493
Lens.org Logo
CITATIONS
Cited by 10 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal to noise ratio

Distortion

Quantization

Stochastic processes

Interference (communication)

Analog electronics

Computer programming

RELATED CONTENT

A biologically inspired model for signal compression
Proceedings of SPIE (December 14 2006)
Integro-differential stochastic resonance
Proceedings of SPIE (May 25 2004)
How to use noise to reduce complexity in quantization
Proceedings of SPIE (January 18 2006)
Neural mechanisms for analog-to-digital conversion
Proceedings of SPIE (March 29 2004)

Back to Top