Referenced Items are not available for this document.
An extension of the field of fast least-squares techniques is presented. It is shown that the adaptation gain, which is updated with a number of operations proportional to the number of transversal filter coefficients, can be used to update the coefficients of a linearly constrained adaptive filter. An algorithm that is robust to round-off errors is derived. It is general and flexible. It can handle multiple constraints and multichannel signals. Its performance is illustrated by simulations and compared with the classical LMS-based Frost (1972) algorithm
Published in:
Signal Processing, IEEE Transactions on
(Volume:44
,
Issue:
5
)
Date of Publication: May 1996
- Page(s):
- 1168 - 1174
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 5290112
- Digital Object Identifier :
- 10.1109/78.502329
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1996
- Sponsored by :
- IEEE Signal Processing Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
