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
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:TKAieeetcsII03
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.
|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|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Archive Administrator|
|Deposited On:||07 Dec 2006|
|Last Modified:||26 Dec 2012 09:20|
Repository Staff Only: item control page