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ISSN: 0040-2508 Print
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Pages: 180
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A Survey of Adaptive Analog Filters
Hector Manuel Perez-Meana
National Polytechnic Institute of Mexico
Mariko Nakano-Miyatake
Technological University of Mexico
Luis Nino-de-Rivera, Dr. Sci.
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, E.E
SEPIESIME Culhuacan, National Polytechnic Institute (IPN) Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO
ABSTRACT
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.
pages 30
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