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A Semi-Infinite Quadratic Programming Algorithm with Applications to Channel Equalization
Responsible organisation
2003 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

This paper is based on DNCA (Dual Nested Complex Approximation) for optimizing communication channel equalizers using semi--infinite quadratic programming. The optimality criterion for the equalizer is either to minimize the complex deviation in the passband or to minimize its stopband energy when subjected to a specified peak side lobe level in the stopband. Additional linear constraints can be used to form the response by means of group delay, nulls etc. The design approach is applied to a numerical example which deals with the design of a complex communication channel equalizer.

Place, publisher, year, edition, pages
Paris, 2003.
Keyword [en]
DNCA, Signal Processing, Channel Equalization
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-10106ISI: 000189237900162Local ID: oai:bth.se:forskinfo41C26C782C5F7553C1256D81003AC418ISBN: 0-7803-7946-2 (print)OAI: oai:DiVA.org:bth-10106DiVA: diva2:838140
Conference
Seventh International Symposium on Signal Processing and its Applications (ISSPA)
Available from: 2012-09-18 Created: 2003-08-13 Last updated: 2015-06-30Bibliographically approved

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Dahl, MattiasClaesson, Ingvar
Signal Processing

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • 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
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