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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009

Выпуски:
Том 78, 2019 Том 77, 2018 Том 76, 2017 Том 75, 2016 Том 74, 2015 Том 73, 2014 Том 72, 2013 Том 71, 2012 Том 70, 2011 Том 69, 2010 Том 68, 2009 Том 67, 2008 Том 66, 2007 Том 65, 2006 Том 64, 2005 Том 63, 2005 Том 62, 2004 Том 61, 2004 Том 60, 2003 Том 59, 2003 Том 58, 2002 Том 57, 2002 Том 56, 2001 Том 55, 2001 Том 54, 2000 Том 53, 1999 Том 52, 1998 Том 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v56.i6-7.100
30 pages

A Survey of Adaptive Analog Filters

Hector Manuel Perez-Meana
National Polytechnic Institute of Mexico
Mariko Nakano-Miyatake
National Polytechnic Institute, IPN, Mexico City
Luis Nino-de-Rivera
SEPI ESIME Culhuacan, National Polytechnic Institute (IPN), Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO
Juan Carlos Sanchez-Garcia
SEPI ESIME Culhuacan, National Polytechnic Institute (IPN), Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO
Gonzalo Duchen-Sanchez
SEPIESIME Culhuacan, National Polytechnic Institute (IPN) Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO

Краткое описание

Adaptive systems, a subject of active research during the last several years, have been mainly implemented in a digital way. However the analog realization forms may present several advantages over the digital ones in applications requiring high convergence speed with lower power consumption, and small sizes. This paper proposes analog adaptive filters based on gradient search based and modified Hopfield networks adaptation methods. Proposed systems provide solution to some of the problems still exiting in the analog adaptive filtering field such as: the distortion due to imperfect integration, increasing the convergence speed of the analog system and the development of analog adaptive system with low sensitivity to additive noise without requiring an explicit matrix inversion. Computer simulation results show that the proposed systems present much better convergence performance than conventional ones in several practical applications.


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