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Model-based and matched-filterbank signal analysis
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
1999 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The dissertation deals with model-based and matched-filterbank signal analysis. The matched-filterbank (MAFI) spectral estimation approach is introduced, and it is shown that both the amplitude spectrum Capon (ASC) and the amplitude and phase estimation (APES) spectral estimators can be expressed as MAFI spectral estimators. A combined estimation procedure for data with mixed spectrum is introduced, as well as ASC and APES implementations for real-valued data. Computationally efficient implementations of the 2-D power spectrum Capon (PSC) and the 1-D and 2-D ASC are proposed.

An asymptotic Cramér-Rao bound for line-spectra estimation is derived. It is shown that the non-linear least squares method (NLSM) will asymptotically achieve the same statistical performance as the maximum likelihood method (MLM) even in the colored noise case. Sufficient conditions for identifiability are derived for known and unknown waveforms received through a multipath channel. Statistically efficient subspace-based estimators for the estimation of the time-delay and Doppler parameters are presented.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis , 1999. , xi, 195 p.
Series
Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1104-2516 ; 22
Keyword [en]
non-parametric spectral estimation, efficient implementations, array processing, parameter estimation, identifiability, subspace fitting
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-382ISBN: 91-554-4571-3 (print)OAI: oai:DiVA.org:uu-382DiVA: diva2:163763
Public defence
2000-02-11, room 1111, Center of Mathematics and Information Technology,Uppsala University, Uppsala, 10:15
Available from: 2000-01-21 Created: 2000-01-21 Last updated: 2011-02-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf