Referenced Items are not available for this document.
Chaotic time series analysis methods are applied to communications signals for characterization. Ergodic invariants of nonlinear physical processes unique to a signal are calculated for signals collected from AM, FM, FSK, and SSB radios. Results include calculation of mutual information, information dimension, and Lyapunov exponents. Positive Lyapunov exponents for all signals are calculated and indicate the presence of low level chaos. A comparison of the Eckmann-Ruelle and Wolf methods for calculating Lyapunov exponents for a signal's time series is presented. Information dimension results show separation of signals of some modulation types at the same frequency
Published in:
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Date of Conference: 26-28 Oct 1992
- Page(s):
- 98 - 104 vol.1
- Meeting Date :
- 26 Oct 1992-28 Oct 1992
- ISSN :
- 1058-6393
- Print ISBN:
- 0-8186-3160-0
- INSPEC Accession Number:
- 4602584
- Conference Location :
- Pacific Grove, CA
- Digital Object Identifier :
- 10.1109/ACSSC.1992.269250
- Product Type:
- Conference Publications
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