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Mathematical methods for mapping image and data compression transforms to adaptive computing systems

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Date Issued:
1998
Title: Mathematical methods for mapping image and data compression transforms to adaptive computing systems.
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Name(s): Schmalz, Mark S., creator
Witter, G. S., creator
Caimi, F. M., creator
Harbor Branch Oceanographic Institute
Type of Resource: text
Genre: Article
Issuance: single unit
Date Issued: 1998
Publisher: IEEE
Extent: 6 p.
Physical Description: pdf
Language(s): English
Identifier: 3183705 (digitool), FADT3183705 (IID), fau:5957 (fedora), 10.1109/OCEANS.1998.726364 (doi)
Note(s): In this paper, work-in-progress is presented that concerns mapping of image compression transforms to reconfigurable computing devices. The discussion begins with an overview of several compression algorithms in common use and their classification. The structure and function of two reconfigurable compression implementations (SIMD and FPGA) is described at a high level. The analysis emphasizes time and space complexity of each transformation and its associated implementations.
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This manuscript is available at http://ieeexplore.ieee.org/ and may be cited as: Schmalz, M. S., Witter, G. S., & Caimi, F. M. (1998). Mathematical methods for mapping image and data compression transforms to adaptive computing systems. Oceans '98: Conference proceedings: 28 September-1 October, 1998, Nice, France, Acropolis Convention Center. (Vol. 3, pp. 1629-1633). Piscataway, NJ: Oceans '98 IEEE/OES Conference Organizing Committee. doi:10.1109/OCEANS.1998.726364
Florida Atlantic University. Harbor Branch Oceanographic Institute contribution #1245.
Subject(s): Image compression
Adaptive computing systems
Underwater acoustic telemetry
Persistent Link to This Record: http://purl.flvc.org/FCLA/DT/3183705
Links: http://dx.doi.org/10.1109/OCEANS.1998.726364
Restrictions on Access: ©1998 IEEE
Host Institution: FAU