Paper Info
Title
Error Recovery Method for Multiple-Dictionary Compression Method
Abstract
Data compression is popularly apPlied to communication systems and computer systems. Ziv-Lempel,coding is a class of popular data compression method and uses dictionary which includes the tendency of the source data. The dictionary is classified into two types, dictionary including local tendency of the source data and the one including global tendency of the source data. The compressed data have a problem that they are very sensitive to errors; and therefore, several error recovery methods for data compression have been proposed. This paper proposes error recovery methOd for data compression method which uses two types of dictionaries. The compression method is proposed by the authors and uses both local and global tendency of the source data. Computer simulations shows that compression ratio of the proposed compression method is better than existing Ziv-Lempel coding and its variations. Error recovery capability of the proposed code is high and the influence of the error is almost less than 10 percent.
Year
DOI
Venue
2007
10.1109/PRDC.2007.32
Melbourne, Qld.
Keywords
Field
DocType
computer simulation,communication system,data compression,compression ratio
Data compression ratio,Block Truncation Coding,Incremental encoding,Pattern recognition,Dictionary coder,Lossy compression,Computer science,Artificial intelligence,Data compression,Image compression,Lossless compression
Conference
ISBN
Citations 
PageRank 
0-7695-3054-0
0
0.34
References 
Authors
22
2
Name
Order
Citations
PageRank
Masato Kitakami12512.29
Yuta Noguchi200.34