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Proceedings Paper

Soft computing channel optimization for compressed and raw video data stream
Author(s): Igor V. Ternovskiy; Andrew A. Kostrzewski; Aleksandr Devivye; Tomasz P. Jannson; Freddie Shing-Hong Lin
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Paper Abstract

Compressed and raw video data streams are discussed in the context of soft computing channel optimization, for satellite and wireless communication. Digital video data are important, since they define high-bandwidth digital data communication requirements. It would be important for channel number maximization to reduce NTSC/VGA video data throughput to audio-like channel bandwidth levels. The soft computing channel optimization combines such diversified features as: data compression, type and degree of data correlation, type of data modulation, type of error-correcting codes, and systemic/physical sources of errors.

Paper Details

Date Published: 13 October 1998
PDF: 9 pages
Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326711
Show Author Affiliations
Igor V. Ternovskiy, Physical Optics Corp. (United States)
Andrew A. Kostrzewski, Physical Optics Corp. (United States)
Aleksandr Devivye, Physical Optics Corp. (United States)
Tomasz P. Jannson, Physical Optics Corp. (United States)
Freddie Shing-Hong Lin, Physical Optics Corp. (United States)

Published in SPIE Proceedings Vol. 3455:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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