DocumentCode
531851
Title
Lossless data compression technique for spatial data system
Author
Zhili, Xu ; Hongxia, Wang
Author_Institution
BeiJing Youth Politics Coll., Beijing, China
Volume
4
fYear
2010
fDate
22-24 Oct. 2010
Abstract
This paper defines for standardization a particular adaptive source coding algorithm that has widespread applicability to many forms of digital data. In particular, the science data from real time systems of imaging or non-imaging instruments are well suited for the application of this algorithm, which based on the Rice algorithm, as recommended by the CCSDS (Consultative Committee for Space Data System). The whole compression system has been verified by performing several tests using vectors recommended by CCSDS, but suitably expanded and improved in order to check the algorithm efficiency and its capability to support several space applications.
Keywords
data compression; real-time systems; source coding; Rice algorithm; adaptive source coding algorithm; digital data; lossless data compression technique; real time systems; spatial data system; Decoding; entropy code; lossless data compression; sample splitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619021
Filename
5619021
Link To Document