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Filter Diagonalization: filtering and postprocessing with prolates.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Materials Science. Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Physical and Analytical Chemistry.
2009 (English)In: Computer Physics Communications, ISSN 0010-4655, E-ISSN 1879-2944, Vol. 180, no 9, 1448-1457 p.Article in journal (Refereed) Published
Abstract [en]

A detailed account is given of a recent modification of the Filter Diagonalization technique that serves to analyze a signal spectrum within a selected energy range. Our approach employs for filtering the eigenfunctions of the Finite Fourier Transform, or prolates, which are superior to other filters due to their special properties. In particular, prolates are simultaneously band-limited and highly concentrated at a finite time-interval, producing filters with optimal accuracy. In addition both features are acquired by the convolution of a band-limited function with a prolate, that permits the latter to be interpolated via the Walter and Shen sampling formula, which essentially simplifies the supplementary computations. Rigorous filtering error estimates are obtained. Test calculations illustrate the facilities of the presented modification.

Place, publisher, year, edition, pages
2009. Vol. 180, no 9, 1448-1457 p.
Keyword [en]
Filter diagonalization, finite Fourier transform, prolates, sampling
National Category
Theoretical Chemistry
Research subject
Chemistry with specialization in Quantum Chemistry
Identifiers
URN: urn:nbn:se:uu:diva-122596DOI: 10.1016/j.cpc.2009.03.003ISI: 000270320400004OAI: oai:DiVA.org:uu-122596DiVA: diva2:310690
Available from: 2010-04-15 Created: 2010-04-15 Last updated: 2017-12-12Bibliographically approved

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Brändas, Erkki J.

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