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2011.87: Delay reconstruction for multiprobe signals

2011.87: Mark R. Muldoon, David S. Broomhead and Jeremy P. Huke (1994) Delay reconstruction for multiprobe signals. In: IEE Colloquium on Exploiting Chaos in Signal Processing. IEE, London, 3/1-3/6.

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A physical system governed by low-dimensional dynamics may be described completely with just a few measurements. Once one has such a description, any further measurements are redundant-one ought to be able to determine the results from what one already knows. Here we apply this idea to multivariate time series; we use the signal in one of the channels to build a model of the underlying system, then use the model to predict all the other channels. We demonstrate the method on a signal from a fluid-mechanical experiment, then discuss the implications for signal compression and for the secrecy of messages masked by chaotic noise

Item Type:Book Section
Uncontrolled Keywords:chaos, delay reconstruction, multiprobe signals, multivariate time series, signal compression, cross prediction, Takens embedding
Subjects:MSC 2000 > 37 Dynamical systems and ergodic theory
MSC 2000 > 53 Differential geometry
PACS 2003 > 05 Statistical physics, thermodynamics, and nonlinear dynamical systems
MIMS number:2011.87
Deposited By:Dr Mark Muldoon
Deposited On:28 October 2011

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