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OPTIMALLY WEIGHTED MUSIC FOR FREQUENCY 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.
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.
1995 (English)In: SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, ISSN 0895-4798, Vol. 16, no 3, 811-827 p.Article in journal (Other scientific) Published
Abstract [en]

This paper introduces a weighted MUSIC (multiple signal classification) algorithm for estimating the frequencies of sinusoidal signals from noise-corrupted measurements. The large-sample variance of the weighted MUSIC is determined, and the optimal weight

Place, publisher, year, edition, pages
1995. Vol. 16, no 3, 811-827 p.
Keyword [en]
SIGNAL PROCESSING; SPECTRAL LINE ANALYSIS; FREQUENCY ESTIMATION; EIGENANALYSIS-BASED METHODS; STATISTICAL ANALYSIS; CENTRO-SYMMETRICAL MATRICES; MAXIMUM-LIKELIHOOD; SUBSPACE ROTATION
Identifiers
URN: urn:nbn:se:uu:diva-27280OAI: oai:DiVA.org:uu-27280DiVA: diva2:55174
Note
Addresses: STOICA P, UNIV UPPSALA, DEPT TECHNOL, SYST & CONTROL GRP, POB 27, S-75103 UPPSALA, SWEDEN.Available from: 2005-05-05 Created: 2005-05-05 Last updated: 2011-01-16

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STOICA, PSöderström, T

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