SIGNAL COMPRESSION FOR C3 APPLICATIONS USING HYPERDISTRIBUTIONS

Award Information
Agency: Department of Defense
Branch: Army
Contract: N/A
Agency Tracking Number: 15899
Amount: $49,996.00
Phase: Phase I
Program: SBIR
Awards Year: 1991
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Massachusetts Technology Lab I
312 Austin St, W Newton, MA, 02165
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr Ta-ming Fang
 Principal Investigator
 (617) 484-2296
Business Contact
Phone: () -
Research Institution
N/A
Abstract
WE DEVELOP HERE A TECHNIQUE FOR SIGNAL COMPRESSION/DECOMPRESSION BASED ON NEW ADVANCES IN THE THEORY OF GENERALIZED FUNCTIONS. WE TERM THESE NEW MATHEMATICAL OBJECTS "GENERALIZED DISTRIBUTIONS" OR "HYPERDISTRIBUTIONS". WE PROPOSE TO DETERMINE THE COMPRESSION RATIOS WHICH MAY BE OBTAINED BY REPRESENTING IMAGE DATA IN TERMS OF A TRUNCATED HYPERDISTRIBUTION SERIES, RATHER THAN THE ORIGINAL COLLECTION OF PIXEL INTENSITIES. SPECIAL ATTENTION WILL ALSO BE GIVEN TO THE TIME REQUIRED FOR COMPRESSIONS AND DECOMPRESSIONS IN TIME-CRITICAL SITUATIONS, AS IN BATTLEFIELD APPLICATIONS. HYPERDISTRIBUTIONS EXHIBIT INTERESTING MATHEMATICAL PROPERTIES UNDER CONVOLUTION OPERATIONS, AND SO THE POSSIBILITY EXISTS THAT IMAGE PROCESSING OPERATIONS CAN BE COMBINED WITH SIGNAL COMPRESSION/ DECOMPRESSION, AND IN PARTICULARLY THAT PARTICULAR CLASSES OF IMAGE PROCESSING OPERATIONS MAY BE CARRIED OUT ON COMPRESSED DATA SETS, WITH CORRESPONDING GAINS IN PROCESSING TIME.

* information listed above is at the time of submission.

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