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Optimal Subspace Techniques for DOA Estimation in the Presence of Noise and Model Errors
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-6855-5868
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-2298-6774
Department of Electrical Engineering, Linkoping University, Linkoping, Sweden..
Brigham Young University, Utah ,US.
2006 (English)In: Space-Time Wireless Systems: From Array Processing to MIMO Communications / [ed] Bölcskei, H.; Gesbert, D.; Papadias, C.; Veen, A. J. van der, Cambridge University Press , 2006Chapter in book (Other academic)
Place, publisher, year, edition, pages
Cambridge University Press , 2006.
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Telecommunications
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URN: urn:nbn:se:kth:diva-80559Scopus ID: 2-s2.0-84926092156OAI: oai:DiVA.org:kth-80559DiVA: diva2:496443
Note
QC 20120219Available from: 2012-02-09 Created: 2012-02-09 Last updated: 2012-02-19Bibliographically approved

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Jansson, MagnusOttersten, Björn

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CiteExportLink to record
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  • apa
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