By Topic

A low-complexity implementation of adaptive Wiener filters

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Goldstein, J.Scott ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Reed, Irving S. ; Scharf, L.L. ; Tague, J.A.

Wiener filters of arbitrary order can be implemented by a nested structure of one-dimensional filters. The multistage processor is simple to implement, and covariance matrix estimation and inversion are not required to calculate the filter weights. The nested structure provides a new framework for designing and implementing reduced complexity filters. When applied to a typical array processing problem, it provides close to optimum performance, even when its degrees of freedom are less than the rank of the interference subspace.

Published in:

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on  (Volume:1 )

Date of Conference:

2-5 Nov. 1997