Data compression and information retrieval via symbolization

Journal Article · Tue Sep 01 00:00:00 EDT 1998 · Chaos

DOI:https://doi.org/10.1063/1.166351· OSTI ID:641596

Tang, X Z ^[1]; Tracy, E R ^[2]

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1. Department of Applied Physics, Columbia University, New York, New York 10027 (United States)
2. Physics Department, College of William and Mary, Williamsburg, Virginia 23187-8795 (United States)

Converting a continuous signal into a multisymbol stream is a simple method of data compression which preserves much of the dynamical information present in the original signal. The retrieval of selected types of information from symbolic data involves binary operations and is therefore optimal for digital computers. For example, correlation time scales can be easily recovered, even at high noise levels, by varying the time delay for symbolization. Also, the presence of periodicity in the signal can be reliably detected even if it is weak and masked by a dominant chaotic/stochastic background. {copyright} {ital 1998 American Institute of Physics.}

• OSTI ID: 641596
• Journal Information: Chaos, Vol. 8, Issue 3; Other Information: PBD: Sep 1998
• Country of Publication: United States
• Language: English

Related Subjects

66 PHYSICS
DIGITAL COMPUTERS
COMPRESSION
DATA PROCESSING
INFORMATION RETRIEVAL
STOCHASTIC PROCESSES
SIGNALS
CORRELATIONS