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Common factor detection and estimation
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
1997 (English)In: AUTOMATICA, ISSN 0005-1098, Vol. 33, no 5, 985-989 p.Article in journal (Other scientific) Published
Abstract [en]

The paper introduces a noniterative maximum likelihood (ML) based approach for the detection and estimation of the greatest common divisor of two given polynomials, the coefficients of which are assumed to have a normal distribution with a consistently es

Place, publisher, year, edition, pages
1997. Vol. 33, no 5, 985-989 p.
Keyword [en]
common factors; detection; estimation; maximum likelihood methods; hypothesis testing; system identification; IDENTIFICATION
Identifiers
URN: urn:nbn:se:uu:diva-27189OAI: oai:DiVA.org:uu-27189DiVA: diva2:55083
Note
Addresses: UPPSALA UNIV, DEPT TECHNOL, SYST & CONTROL GRP, S-75103 UPPSALA, SWEDEN.Available from: 2005-05-04 Created: 2005-05-04 Last updated: 2011-01-15

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Stoica, PSöderström, T

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