Statistical lossless compression of space imagery and general data in a reconfigurable architecture

JL Nunez-Yanez; X Chen; CN Canagarajah; R Vitulli

doi:10.1109/AHS.2008.9

Statistical lossless compression of space imagery and general data in a reconfigurable architecture

JL Nunez-Yanez, X Chen, CN Canagarajah, R Vitulli

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

444 Downloads (Pure)

Abstract

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

Translated title of the contribution	Statistical lossless compression of space imagery and general data in a reconfigurable architecture
Original language	English
Title of host publication	NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2008), Noordwijk, Netherlands
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	172 - 177
Number of pages	6
ISBN (Print)	9780769531663
DOIs	https://doi.org/10.1109/AHS.2008.9
Publication status	Published - Jun 2008
Event	NASA/ESA Conference on Adaptive Hardware and Systems - Noordwijk, Netherlands Duration: 1 Jun 2008 → …

Conference

Conference	NASA/ESA Conference on Adaptive Hardware and Systems
Country/Territory	Netherlands
City	Noordwijk
Period	1/06/08 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2008 IEEE. Reprinted from NASA/ESA Conference on Adaptive Hardware and Systems, 2008 (AHS '08).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Access to Document

10.1109/AHS.2008.9

Nunez IEEE AHS 2008Accepted author manuscript, 388 KB

http://hdl.handle.net/1983/1508

Handle.net

Persistent link

Cite this

Nunez-Yanez, JL., Chen, X., Canagarajah, CN., & Vitulli, R. (2008). Statistical lossless compression of space imagery and general data in a reconfigurable architecture. In NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2008), Noordwijk, Netherlands (pp. 172 - 177). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/AHS.2008.9

@inproceedings{1e7bfe223dbb46cd87e6d08b08ac40b4,

title = "Statistical lossless compression of space imagery and general data in a reconfigurable architecture",

abstract = "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",

author = "JL Nunez-Yanez and X Chen and CN Canagarajah and R Vitulli",

note = "Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2008 IEEE. Reprinted from NASA/ESA Conference on Adaptive Hardware and Systems, 2008 (AHS '08). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; NASA/ESA Conference on Adaptive Hardware and Systems ; Conference date: 01-06-2008",

year = "2008",

month = jun,

doi = "10.1109/AHS.2008.9",

language = "English",

isbn = "9780769531663",

pages = "172 -- 177",

booktitle = "NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2008), Noordwijk, Netherlands",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Nunez-Yanez, JL, Chen, X, Canagarajah, CN & Vitulli, R 2008, Statistical lossless compression of space imagery and general data in a reconfigurable architecture. in NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2008), Noordwijk, Netherlands. Institute of Electrical and Electronics Engineers (IEEE), pp. 172 - 177, NASA/ESA Conference on Adaptive Hardware and Systems, Noordwijk, Netherlands, 1/06/08. https://doi.org/10.1109/AHS.2008.9

Statistical lossless compression of space imagery and general data in a reconfigurable architecture. / Nunez-Yanez, JL; Chen, X; Canagarajah, CN et al.
NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2008), Noordwijk, Netherlands. Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 172 - 177.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Statistical lossless compression of space imagery and general data in a reconfigurable architecture

AU - Nunez-Yanez, JL

AU - Chen, X

AU - Canagarajah, CN

AU - Vitulli, R

N1 - Rose publication type: Conference contribution Terms of use: Copyright © 2008 IEEE. Reprinted from NASA/ESA Conference on Adaptive Hardware and Systems, 2008 (AHS '08). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2008/6

Y1 - 2008/6

N2 - 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

AB - 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

U2 - 10.1109/AHS.2008.9

DO - 10.1109/AHS.2008.9

M3 - Conference Contribution (Conference Proceeding)

SN - 9780769531663

SP - 172

EP - 177

BT - NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2008), Noordwijk, Netherlands

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - NASA/ESA Conference on Adaptive Hardware and Systems

Y2 - 1 June 2008

ER -

Statistical lossless compression of space imagery and general data in a reconfigurable architecture

Abstract

Conference

Bibliographical note

Access to Document

Handle.net

Fingerprint

Cite this