A Semi-Infinite Quadratic Programming Algorithm with Applications to Channel Equalization

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): To Tran, Mattias Dahl, Ingvar Claesson
Title: A Semi-Infinite Quadratic Programming Algorithm with Applications to Channel Equalization
Conference name: Seventh International Symposium on Signal Processing and its Applications (ISSPA)
Year: 2003
Pagination: 653-656, Vol 1
ISBN: 0-7803-7946-2
City: Paris
ISI number: 000189237900162
Organization: Blekinge Institute of Technology
Department: Department of Telecommunications and Signal Processing (Institutionen för telekommunikation och signalbehandling)
Department of Telecommunications and Signal Processing S-372 25 Ronneby
+46 455 38 50 00
Authors e-mail: ttr@bth.se
Language: English
Abstract: 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.
Subject: Signal Processing\Filter Design
Keywords: DNCA, Signal Processing, Channel Equalization
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