NDLI: New stable IIR modeling of long FIR filters with low complexity

Content Provider	IEEE Xplore Digital Library
Author	Jie Chen Parhi, K.K.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN (Jie Chen; Parhi, K.K.)
Abstract	This paper presents a new efficient method for stable pole-zero modeling of long finite impulse response (FIR) filters. The proposed method is based on the formulation of a generalized system identification problem using the minimum mean-square error (MMSE) criterion. A computationally efficient MMSE solution is then derived by exploiting the structured matrices. The proposed method is general and applicable to cases with unequal numbers of poles and zeros. Compared with the generalized ARMA-Levinson algorithm, the proposed method has lower computational complexity without loss of accuracy. Numerical results are provided to demonstrate the effectiveness of the proposed method.
Starting Page	1649
Ending Page	1653
File Size	285524
Page Count	5
File Format	PDF
ISBN	9781424429400
ISSN	10586393
DOI	10.1109/ACSSC.2008.5074704
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Finite impulse response filter IIR filters Computational complexity Poles and zeros Algorithm design and analysis System identification Linear matrix inequalities Hardware Costs Performance analysis Levinson pole-zero modeling minimum mean-square error (MMSE) structured matrices computational complexity
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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