Title :
The Lempel-Ziv algorithm and message complexity
Author :
Gilbert, E.N. ; Kadota, T.T.
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
fDate :
11/1/1992 12:00:00 AM
Abstract :
Data compression has been suggested as a nonparametric way of discriminating between message sources. Compressions obtained from a Lempel-Ziv algorithm for relatively short messages, such as those encountered in practice, are examined. The intuitive notion of message complexity has less connection with compression than one might expect from known asymptotic results about infinite messages. Nevertheless, discrimination by compression remains an interesting possibility
Keywords :
binary sequences; communication complexity; data compression; Lempel-Ziv algorithm; binary sources; data compression; message complexity; nonparametric discrimination; Data compression; Distributed computing; Entropy; H infinity control; Information theory; Probability distribution;
Journal_Title :
Information Theory, IEEE Transactions on