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Least-squares algorithms for adaptive linear-phase filtering

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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