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 :
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