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Proceedings Paper

Chaotic time series analysis of AM, FM, SSB, and FSK signals
Author(s): Philip T. Downes
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Paper Abstract

Chaotic time series analysis methods are applied to communications signals for characterization. Ergodic invariants of nonlinear physical processes are calculated for signals collected from AM, FM, FSK, and SSB radios. Previous work detailed information dimension and Lyapunov exponent calculations for these modulation types. The prevalence of positive Lyapunov exponents across modulation types indicated the presence of chaotic processes. Current results continue to indicate the appropriateness of this methodology for signal processing. Here, the results of the calculations of metric entropy, topological entropy, symbolic dynamics, recurrence maps, and circuit models are presented.

Paper Details

Date Published: 18 November 1993
PDF: 13 pages
Proc. SPIE 2038, Chaos in Communications, (18 November 1993); doi: 10.1117/12.162689
Show Author Affiliations
Philip T. Downes, E-Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 2038:
Chaos in Communications
Louis M. Pecora, Editor(s)

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