Library Subscription: Guest
Home Begell Digital Library eBooks Journals References & Proceedings Research Collections
Telecommunications and Radio Engineering

ISSN Print: 0040-2508
ISSN Online: 1943-6009

You have access to:
Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering


14 pages

Adaptive Filtering Based on Subband Decomposition

Hector Manuel Perez-Meana
National Polytechnic Institute of Mexico
Mariko Nakano Miyatake
Graduate School The National Polytechnic Institute of Mexico
Luis Nino-de-Rivera
SEPI ESIME Culhuacan, National Polytechnic Institute (IPN), Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO

ABSTRACT

One important approach to reduce the computational complexity of adaptive filters is that based on subband decomposition, in which the input signals are represented in terms of a set of N near orthogonal signal components using an orthogonal transformation. This is because the representation allows processing schemes in which each of these orthogonal signal components are independently processed. In this paper we present FIR and IIR adaptive filter structures based on subband decomposition in which the input signals are splite in a set of decomposition in which the input signals are split in a set of orthogonal signal components. A reduced order adaptive filter is then inserted in each subband, whose coefficients are independently updated. The computer simulation results show that the both types of subband adaptive filter structures reduce computational complexity considerably, and have fairly good convergence property.