Title :
Redundancy of the Lempel-Ziv incremental parsing rule
Author :
Savari, Serap A.
Author_Institution :
Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
fDate :
1/1/1997 12:00:00 AM
Abstract :
The Lempel-Ziv codes are universal variable-to-fixed length codes that have become virtually standard in practical lossless data compression. For any given source output string from a Markov or unifilar source, we upper-bound the difference between the number of binary digits needed to encode the string and the self-information of the string. We use this result to demonstrate that for unifilar or Markov sources, the redundancy of encoding the first n letters of the source output with the Lempel-Ziv incremental parsing rule (LZ´78), the Welch modification (LZW), or a new variant is O((ln n)-1), and we upper-bound the exact form of convergence. We conclude by considering the relationship between the code length and the empirical entropy associated with a string
Keywords :
Markov processes; convergence; entropy codes; grammars; redundancy; source coding; variable length codes; Lempel-Ziv codes; Lempel-Ziv incremental parsing rule; Markov source; Welch modification; binary digits; code length; convergence; empirical entropy; lossless data compression; redundancy; self-information; source output; source output string; unifilar source; universal variable-to-fixed length codes; upper-bound; Arithmetic; Code standards; Convergence; Data compression; Decoding; Encoding; Entropy; Source coding; Steady-state;
Journal_Title :
Information Theory, IEEE Transactions on