Adaptive filtering methods : on methods use a priori information in order to reduce complexity while maintaining convergence properties

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

595 Downloads (Pure)
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Department of Electrical Engineering
Supervisors/Advisors
  • van Bokhoven, Wim, Promotor
  • Butterweck, Hans, Promotor
Award date16 Jun 1992
Place of PublicationEindhoven
Publisher
Print ISBNs90-9005143-0
DOIs
Publication statusPublished - 1992

Cite this

@phdthesis{ea85d87d6a3e4eed829b9fe44bda3d95,
title = "Adaptive filtering methods : on methods use a priori information in order to reduce complexity while maintaining convergence properties",
author = "P.C.W. Sommen",
year = "1992",
doi = "10.6100/IR375310",
language = "English",
isbn = "90-9005143-0",
publisher = "Technische Universiteit Eindhoven",
school = "Department of Electrical Engineering",

}

Adaptive filtering methods : on methods use a priori information in order to reduce complexity while maintaining convergence properties. / Sommen, P.C.W.

Eindhoven : Technische Universiteit Eindhoven, 1992. 167 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

TY - THES

T1 - Adaptive filtering methods : on methods use a priori information in order to reduce complexity while maintaining convergence properties

AU - Sommen, P.C.W.

PY - 1992

Y1 - 1992

U2 - 10.6100/IR375310

DO - 10.6100/IR375310

M3 - Phd Thesis 1 (Research TU/e / Graduation TU/e)

SN - 90-9005143-0

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -