Applying stochastic signal quantization theory to the robust digitization of noisy analog signals
Date
2009
Authors
McDonnell, M.D.
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Visarath, I.
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Book chapter
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Source details - Title: Applications of nonlinear dynamics: model and design of complex systems, 2009 / Visarath, I. (ed./s), vol.2009, pp.249-261
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Abstract
Suprathreshold stochastic resonance is a variant of stochastic resonance that has been shown to occur in parallel arrays of independently noisy, but otherwise identical, binary threshold devices. It can be described as a form of stochastic signal quantization that utilizes independently random noise sources to digitize an analog signal. This paper outlines a generalization of this effect, and discusses several sensor applications in which it can occur, such as analog-to-digital converter circuits, distributed sensor networks and the reduction of in-band noise via coherent integration in radar, sonar and sodar systems. All of these scenarios can be modeled using a framework called a ‘stochastic pooling network.’
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Copyright 2009 Springer-Verlag Berlin Heidelberg