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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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=369883&tag=1
Abstract
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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