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Discrete optimization of digital filters using Gaussian adaptation and quadratic function minimization
Ericsson, Stockholm, Sweden.
Ericsson, Stockholm, Sweden.
Ericsson, Stockholm, Sweden.
1987 (English)In: IEEE Transactions on Circuits and Systems, ISSN 0098-4094, E-ISSN 1558-1276, Vol. 34, no 10, 1238-1242 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, a new strategy for discrete optimization of a function F(x) is presented. Let A be the region in the n-dimensional parameter space, where F{x) is less than some constant. First, A is located and characterized by a Gaussian search process, called Gaussian adaptation. This makes it possible to approximate the behavior of F(x) over A by a quadratic function Q(x). Q(x) is then optimized for the N best discrete solutions using a branch and bound technique. Finally, these points are evaluated for the best F(x) points. By various digital filter examples it win be demonstrated that the new method is more e capable of finding good solutions than methods presented so far

Place, publisher, year, edition, pages
IEEE , 1987. Vol. 34, no 10, 1238-1242 p.
Keyword [en]
discrete optimization, Gaussian adaptation, digital filter
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-111407DOI: 10.1109/TCS.1987.1086040OAI: oai:DiVA.org:liu-111407DiVA: diva2:756244
Available from: 2014-10-16 Created: 2014-10-16 Last updated: 2014-10-27Bibliographically approved

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Taxén, Lars
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