uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Frequency domain identification of complex sinusoids in the presence of additive noise
Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0003-4619-8879
2017 (English)In: 20th IFAC World Congress, Elsevier, 2017, Vol. 50, p. 6244-6250Conference paper, Published paper (Refereed)
Abstract [en]

his paper describes a new approach for identifying the parameters of complex sinusoids from a finite number of measurements, in presence of additive and uncorrelated white noise. The proposed approach deals with frequency domain data and as a major feature, it enables the estimation to be frequency selective. In many aspects the new method resembles the well known ESPRIT subspace algorithm, originally developed in the time domain. However, the sub band frequency selective feature allows a reduction of the computations and can improve the quality of the estimates. The properties of the proposed method are analyzed by means of Monte Carlo simulations and its performance is compared with those of other estimation algorithms.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 50, p. 6244-6250
Series
IFAC-PapersOnLine, E-ISSN 2405-8963 ; 50:1
National Category
Signal Processing
Research subject
Electrical Engineering with specialization in Automatic Control
Identifiers
URN: urn:nbn:se:uu:diva-334711DOI: 10.10164/j.facol.2017.08.848ISI: 000423964900041OAI: oai:DiVA.org:uu-334711DiVA, id: diva2:1160397
Conference
20th World Congress of the International-Federation-of-Automatic-Control (IFAC),Toulouse,France,July 09-14, 2017
Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2018-05-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Söderström, Torsten

Search in DiVA

By author/editor
Söderström, Torsten
By organisation
Automatic control
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 19 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf