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On the eigenfilter design method and its applications: a tutorial

Tkacenko, Andre and Vaidyanathan, P. P. and Nguyen, Truong Q. (2003) On the eigenfilter design method and its applications: a tutorial. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 50 (9). pp. 497-517. ISSN 1057-7130. http://resolver.caltech.edu/CaltechAUTHORS:TKAieeetcsII03

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Abstract

The eigenfilter method for digital filter design involves the computation of filter coefficients as the eigenvector of an appropriate Hermitian matrix. Because of its low complexity as compared to other methods as well as its ability to incorporate various time and frequency-domain constraints easily, the eigenfilter method has been found to be very useful. In this paper, we present a review of the eigenfilter design method for a wide variety of filters, including linear-phase finite impulse response (FIR) filters, nonlinear-phase FIR filters, all-pass infinite impulse response (IIR) filters, arbitrary response IIR filters, and multidimensional filters. Also, we focus on applications of the eigenfilter method in multistage filter design, spectral/spacial beamforming, and in the design of channel-shortening equalizers for communications applications.


Item Type:Article
Additional Information:© Copyright 2003 IEEE. Reprinted with permission. Manuscript received February 5, 2003; revised April 23, 2003. [Posted online: 2003-09-23] This work was supported in part by the Office of Naval Research Grant N00014–99-1–1002.
Subject Keywords:Channel-shortening equalizers, constrained filter design, eigenfilter, least-squares filter design
Record Number:CaltechAUTHORS:TKAieeetcsII03
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:TKAieeetcsII03
Alternative URL:http://dx.doi.org/
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:6405
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:07 Dec 2006
Last Modified:26 Dec 2012 09:20

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