A review of symbolic analysis of experimental data

C. S. Daw; C. E.A. Finney; E. R. Tracy

doi:10.1063/1.1531823

A review of symbolic analysis of experimental data

C. S. Daw, C. E.A. Finney, E. R. Tracy

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Abstract

A study of symbolic time-series analysis or symbolization was carried out. Symbolization involves transformation of raw time-series measurements into a series of discretized symbols that are processed to extract information about the generating process. The results indicate that symbolization can increase the efficiency of finding and quantifying information from the systems, reduce sensitivity to measurement noise, and discriminate both specific and general classes of proposed models.

Original language	English
Pages (from-to)	915-930
Number of pages	16
Journal	Review of Scientific Instruments
Volume	74
Issue number	2
DOIs	https://doi.org/10.1063/1.1531823
State	Published - Feb 2003

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title = "A review of symbolic analysis of experimental data",

abstract = "A study of symbolic time-series analysis or symbolization was carried out. Symbolization involves transformation of raw time-series measurements into a series of discretized symbols that are processed to extract information about the generating process. The results indicate that symbolization can increase the efficiency of finding and quantifying information from the systems, reduce sensitivity to measurement noise, and discriminate both specific and general classes of proposed models.",

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AB - A study of symbolic time-series analysis or symbolization was carried out. Symbolization involves transformation of raw time-series measurements into a series of discretized symbols that are processed to extract information about the generating process. The results indicate that symbolization can increase the efficiency of finding and quantifying information from the systems, reduce sensitivity to measurement noise, and discriminate both specific and general classes of proposed models.

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A review of symbolic analysis of experimental data

Abstract

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