lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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
Regularization of kernels for estimation of the Wigner spectrum of Gaussian stochastic processes
Univ Turin, Dipartimento Matemat, I-10123 Turin, TO, Italy.
2010 (English)In: Probability and Mathematical Statistics, ISSN 0208-4147, Vol. 30, no 2, 369-381 p.Article in journal (Refereed) Published
Abstract [en]

We study estimation of the Wigner time-frequency spectrum of Gaussian stochastic processes. Assuming the covariance belongs to the Feichtinger algebra, we construct an estimation kernel that gives a mean square error arbitrarily close to the infimum over kernels in the Feichtinger algebra.

Place, publisher, year, edition, pages
Wroclaw: Wroclaw University of Technology, 2010. Vol. 30, no 2, 369-381 p.
National Category
Probability Theory and Statistics
Research subject
Mathematics, Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-27579ISI: 000208490200012OAI: oai:DiVA.org:lnu-27579DiVA: diva2:637383
Available from: 2013-07-17 Created: 2013-07-17 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Wahlberg, Patrik

Search in DiVA

By author/editor
Wahlberg, Patrik
In the same journal
Probability and Mathematical Statistics
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 57 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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