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COMPUTER AIDED DESIGN (CAD) DIGITAL FILTERING/SMOOTHING SCHEMES

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
6395
Program Year/Program:
1987 / SBIR
Agency Tracking Number:
6395
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801-6562
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1987
Title: COMPUTER AIDED DESIGN (CAD) DIGITAL FILTERING/SMOOTHING SCHEMES
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $59,159.00
 

Abstract:

RECENTLY CANONICAL VARIATE ANALYSIS (CVA) THEORY HAS BEEN SUCCESSFULLY APPLIED TO ADAPTIVE IDENTIFICATION OF MULTI-INPUT MULTI-OUTPUT (MIMO) SYSTEMS IN OPEN - AND CLOSED-LOOP CONFIGURATION. THE METHOD AUTOMATICALLY SELECTS AN OPTIMAL MODEL ORDER BASED ON AN INFORMATION THEORETIC CRITERION KNOWN AS AKAIKE INFORMATION CRITERION (AIC). UNDER THE SCOPE OF THIS PROPOSAL, A NEW FILTERING AND SMOOTHING SCHEME BASED ON CVA-AIC WILL BE DEVELOPED THAT WILL BE USED TO PROCESS DATA WITH ABRUPT CHANGES. THE PHASE I EFFORT OF A THREE PHASE RESEARCH PROGRAM CONSISTS OF THREE MAJOR TASKS: (I) TO DEVELOP A CVA-AIC BASE FILTERING/SMOOTHING SCHEME FOR HANDLING DATA WITHOUT ANY ABRUPT CHANGE, (II) TO DEVELOP A CVA-AIC BASED TECHNIQUE FOR DETECTING AND ESTIMATING THE TIME OF OCCURRENCE OF ABRUPT CHANGE AND (III) INTEGRATING THESE SCHEMES INTO A COMPLETE DESIGN PACKAGE. CVA-AIC TECHNIQUE WILL ALSO BE USED FOR OPTIMAL ORDER SELECTION OF THE POLYNOMIAL IN THE "CLASSICAL" LEAST SQUARE MOVING ARC POLYNOMIAL SMOOTHING TECHNIQUES. PHASE I WILL LAY THE FOUNDATION FOR PHASE II DURING WHICH A CVA-AIC BASED CAD SOFTWARE PACKAGE FOR DESIGNING FILTERING/SMOOTHING SCHEMES WILL BE DEVELOPED.

Principal Investigator:

Donald gustafson
6176616364

Business Contact:

Small Business Information at Submission:

Scientific Systems Inc
One Alewife Pl Cambridge, MA 02140

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No