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On nonparametric estimation of 2-D smooth spectra
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2006 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 13, no 10, 632-635 p.Article in journal (Refereed) Published
Abstract [en]

We consider the problem of smoothed nonparametric estimation of two-dimensional (2-D) spectra. In the one-dimensional (1-D) scenario, several methods have been developed in the past for the computation of nonparametric spectral estimates with lower variance than that of the standard periodogram. Some of these techniques can also be extended to the 2-D case. However, such methods usually require a careful selection of certain design parameters, which can be hard to make. The spectral estimator proposed here is based on cepstrum thresholding and is shown to have significantly lower variance than the standard 2-D periodogram. Moreover, the thresholding is performed in a simple and practically automatic manner without the requirement of extensive prior knowledge about the signal of interest.

Place, publisher, year, edition, pages
2006. Vol. 13, no 10, 632-635 p.
Keyword [en]
nonparametric two-dimensional (2-D) spectral estimation, spectral smoothing, thresholding
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-19020DOI: 10.1109/LSP.2006.876320ISI: 000240756500014OAI: oai:DiVA.org:uu-19020DiVA: diva2:46792
Available from: 2006-11-24 Created: 2006-11-24 Last updated: 2017-12-08Bibliographically approved

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Sandgren, NiclasStoica, Peter

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