Digital predistortion of memory polynomial systems using direct and indirect learning architectures

Li Gan, Emad Abd-Elrady

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

Original languageEnglish
Title of host publicationIASTED International Conference on Signal Processing, Pattern Recognition and Applications
Publisher.
Publication statusAccepted/In press - 2009
EventIASTED International Conference on Signal Processing, Pattern Recognition and Applications - Innsbruck, Austria
Duration: 17 Feb 200919 Feb 2009

Conference

ConferenceIASTED International Conference on Signal Processing, Pattern Recognition and Applications
CountryAustria
CityInnsbruck
Period17/02/0919/02/09

Treatment code (Nähere Zuordnung)

  • Application
  • Theoretical

Cite this

Gan, L., & Abd-Elrady, E. (Accepted/In press). Digital predistortion of memory polynomial systems using direct and indirect learning architectures. In IASTED International Conference on Signal Processing, Pattern Recognition and Applications ..

Digital predistortion of memory polynomial systems using direct and indirect learning architectures. / Gan, Li; Abd-Elrady, Emad.

IASTED International Conference on Signal Processing, Pattern Recognition and Applications. ., 2009.

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

Gan, L & Abd-Elrady, E 2009, Digital predistortion of memory polynomial systems using direct and indirect learning architectures. in IASTED International Conference on Signal Processing, Pattern Recognition and Applications. ., IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Innsbruck, Austria, 17/02/09.
Gan L, Abd-Elrady E. Digital predistortion of memory polynomial systems using direct and indirect learning architectures. In IASTED International Conference on Signal Processing, Pattern Recognition and Applications. . 2009
Gan, Li ; Abd-Elrady, Emad. / Digital predistortion of memory polynomial systems using direct and indirect learning architectures. IASTED International Conference on Signal Processing, Pattern Recognition and Applications. ., 2009.
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