Fiscal Year:
1993
Title:
Object-oriented Signal Processing
Agency / Branch:
DOD / MDA
Contract:
N/A
Award Amount:
$44,508.00
Abstract:
THE PROBLEM ADDRESSED IS THAT OF EXTRACTING INFORMATION ABOUT EVENTS ASSOCIATED WITH A PHYSICAL SYSTEM BY PROCESSING A LARGE NUMBER OF DATA STREAMS FLOWING FROM SENSORS AND INSTRUMENTATION. IT IS ASSUMED THAT DECEPTIVE DATA PORTIONS ARE IMBEDDED, WITH NO A-PRIORI MODELS DESCRIBING SYSTEM BEHAVIOR. THE OBJECTIVE IS TO FORMALIZE, ARTICULATE, AND DEMONSTRATE A SIGNAL-PROCESSING FRAMEWORK (OBJECT OREIENTED SIGNAL PROCESSING) WHICH IS EMERGING FROM EXPERIENCE WITH PROBLEMS OF THIS NATURE IN COMMERCIAL APPLICATIONS. IN THIS SETTING INSTRUMENTATION INJECTS RAW MATERIAL INTO A MATERIAL-PROCESSING FRAMEWORK, WITH A RIGOROUS MATHEMATICAL PLATFORM FOR DEVELOPING CONDENSATION AND CLASSIFICATION PROCESSES. CONDENSATION PROCESSES EXTRACT INFORMATION FROM RAW-MATERIAL STREAMS AND INJECT IT INTO HIGHLY COMPRESSED (1000:1) STREAMS OF SYNTHETIC MATERIAL FEEDING CLASSIFICATION PROCESSES. HIGH PERFORMANCE GAINS RESULT FROM APPLUING INTENSIVE PROCESSING DIRECTLY TO COMPRESSED MATERIAL. CLASSIFICATION PROCESSES PRODUCE GROUPS OF SIMILAR MATERIAL CHARACTERIZED BY DISTRIBUTIONS OF MATERIAL POPULATIONS. THERE APPEARS TO BE A CLOSE RELATIONSHIP BETWEEN THESE DISTRIBUTIONS AND MEMBERSHIP FUNCTIONS AS USED IN FUZZY CONTROL.
Principal Investigator:
Bruce C. Moore
5046870887
Business Contact:
Small Business Information at Submission:
Data Refining Technologies,
P.o. Box 893 Plaquemine, LA 70765
EIN/Tax ID:
DUNS:
N/A
Number of Employees:
Woman-Owned:
No
Minority-Owned:
No
HUBZone-Owned:
No