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Proceedings Paper

Autosophy: an alternative vision for satellite communication, compression, and archiving
Author(s): Klaus Holtz; Eric Holtz; Diana Kalienky
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Paper Abstract

Satellite communication and archiving systems are now designed according to an outdated Shannon information theory where all data is transmitted in meaningless bit streams. Video bit rates, for example, are determined by screen size, color resolution, and scanning rates. The video "content" is irrelevant so that totally random images require the same bit rates as blank images. An alternative system design, based on the newer Autosophy information theory, is now evolving, which transmits data "contend" or "meaning" in a universally compatible 64bit format. This would allow mixing all multimedia transmissions in the Internet's packet stream. The new systems design uses self-assembling data structures, which grow like data crystals or data trees in electronic memories, for both communication and archiving. The advantages for satellite communication and archiving may include: very high lossless image and video compression, unbreakable encryption, resistance to transmission errors, universally compatible data formats, self-organizing error-proof mass memories, immunity to the Internet's Quality of Service problems, and error-proof secure communication protocols. Legacy data transmission formats can be converted by simple software patches or integrated chipsets to be forwarded through any media - satellites, radio, Internet, cable - without needing to be reformatted. This may result in orders of magnitude improvements for all communication and archiving systems.

Paper Details

Date Published: 1 September 2006
PDF: 12 pages
Proc. SPIE 6300, Satellite Data Compression, Communications, and Archiving II, 63000H (1 September 2006); doi: 10.1117/12.674753
Show Author Affiliations
Klaus Holtz, Autosophy (United States)
Eric Holtz, Autosophy (United States)
Diana Kalienky, Autosophy (United States)

Published in SPIE Proceedings Vol. 6300:
Satellite Data Compression, Communications, and Archiving II
Roger W. Heymann; Charles C. Wang; Timothy J. Schmit, Editor(s)

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