A recursive prediction error algorithm for digital predistortion of FIR Wiener systems

Emad Abd-Elrady

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationInternational Symposium on Communication Systems, Networks and Digital Signal Processing
Publisher.
Pages698-701
Publication statusPublished - 2008
EventInternational Symposium on Communication Systems, Networks and Digital Signal Processing - Graz, Austria
Duration: 23 Jul 200825 Jul 2008

Conference

ConferenceInternational Symposium on Communication Systems, Networks and Digital Signal Processing
CountryAustria
CityGraz
Period23/07/0825/07/08

Treatment code (Nähere Zuordnung)

  • Application
  • Theoretical

Cite this

Abd-Elrady, E. (2008). A recursive prediction error algorithm for digital predistortion of FIR Wiener systems. In International Symposium on Communication Systems, Networks and Digital Signal Processing (pp. 698-701). ..

A recursive prediction error algorithm for digital predistortion of FIR Wiener systems. / Abd-Elrady, Emad.

International Symposium on Communication Systems, Networks and Digital Signal Processing. ., 2008. p. 698-701.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abd-Elrady, E 2008, A recursive prediction error algorithm for digital predistortion of FIR Wiener systems. in International Symposium on Communication Systems, Networks and Digital Signal Processing. ., pp. 698-701, International Symposium on Communication Systems, Networks and Digital Signal Processing, Graz, Austria, 23/07/08.
Abd-Elrady E. A recursive prediction error algorithm for digital predistortion of FIR Wiener systems. In International Symposium on Communication Systems, Networks and Digital Signal Processing. . 2008. p. 698-701
Abd-Elrady, Emad. / A recursive prediction error algorithm for digital predistortion of FIR Wiener systems. International Symposium on Communication Systems, Networks and Digital Signal Processing. ., 2008. pp. 698-701
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