DocumentCode
1587194
Title
Design of minimum MSE detection matrix filters
Author
Rizq, Nader N. ; Lindquist, Claude S.
Author_Institution
Gables Engineering Inc., Coral Gables, FL, USA
fYear
1992
Firstpage
601
Abstract
The square matrix system representation is used to derive matched, high-resolution and inverse detection matrix filters using gradient maximization. The results are identical to those derived using the Schwarz inequality maximization method. A unifying result that portrays detection square matrix systems as minimum mean square error systems is presented. Historically, minimum mean square error systems have been associated with estimation and correlation type algorithms
Keywords
filtering and prediction theory; least squares approximations; matrix algebra; signal detection; detection square matrix systems; gradient maximization; high-resolution; inverse detection matrix filters; matched filters; minimum MSE detection matrix filters; minimum mean square error systems; Equations; Filtering; Frequency domain analysis; Linear matrix inequalities; Matched filters; PSNR; Signal design; Signal resolution; Signal to noise ratio; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-3160-0
Type
conf
DOI
10.1109/ACSSC.1992.269201
Filename
269201
Link To Document