Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Least-squares algorithms for adaptive linear-phase filtering

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

2 Author(s)
Friedlander, B. ; Systems Control Inc., Palo Alto, California ; Morf, M.

In many applications it is desirable to use filters with linear phase characteristics. This paper presents an approach for developing such filters for adaptive signal processing. Several least-squares algorithms are derived for adjusting the coefficients of an adaptive linear phase filter. It is shown that smoothing filters, rather than the commonly used prediction filters, are a more natural choice if linear phase characteristics are required.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.  (Volume:6 )

Date of Conference:

Apr 1981