Statistical Lossless Compression of Space Imagery and General Data in a Reconfigurable Architecture

This paper investigates an universal algorithm and hardware architecture for context-based statistical lossless compression of multiple types of data using FPGA (field programmable gate array) devices which support partial and dynamic reconfiguration. The proposed system enables optimal modeling str...

Full description

Saved in:
Bibliographic Details
Published in2008 NASA/ESA Conference on Adaptive Hardware and Systems pp. 172 - 177
Main Authors Nunez-Yanez, J.L., Xiaolin Chen, Canagarajah, N., Vitulli, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
compression
Context modeling
Data models
Encoding
FPGA
Hardware
Image coding
lossless
Predictive models
reconfiguration
Software algorithms
Online AccessGet full text

Cover

More Information
Summary:This paper investigates an universal algorithm and hardware architecture for context-based statistical lossless compression of multiple types of data using FPGA (field programmable gate array) devices which support partial and dynamic reconfiguration. The proposed system enables optimal modeling strategies for each source type whilst entropy coding of the modeling output is performed using a statically configured arithmetic coding engine. Spacecraft communications typically involve large amounts of information captured from different sensors that must be transmitted without any loss. The statistical redundancies present in this data can be removed efficiently using the proposed reconfigurable compression technology.
ISBN:9780769531663
0769531660
DOI:10.1109/AHS.2008.9