DocumentCode :
468282
Title :
Improved Lempel-Ziv Algorithm Based on Complexity Measurement of Short Time Series
Author :
Liu, Feng-Tao ; Tang, Yong
Author_Institution :
Donghua Univ., Shanghai
Volume :
2
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
771
Lastpage :
776
Abstract :
The Lempel-Ziv algorithm is not fully suitable for measuring the complexity of short series. When the Lempel-Ziv algorithm is applied, the assumption that the sequence must be long enough is always ignored: the series length is usually too large, and the equi-probability assumption also is not considered in some papers. Based on these facts, the universal algorithm of trial and error is presented when the conditions of different sequence lengths and different symbol probabilities are comprehensively considered. The facts that the overvaluation would occur in measuring normalized complexity of short sequences with the original Lempel-Ziv algorithm and obtained results through improved Lempel-Ziv algorithm more in accord with the reality are testified by virtue of tests of ultra-short series, logistic equation of different state, observed traffic flow.
Keywords :
computational complexity; logistics; probability; time series; traffic; Lempel-Ziv algorithm; complexity measurement; equi-probability assumption; logistic equation; short time series; symbol probabilities; traffic flow; trial and error algorithm; Biology; Current measurement; Differential equations; Fluid flow measurement; Fractals; Fuzzy systems; Logistics; Testing; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.357
Filename :
4406180
Link To Document :
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