DocumentCode :
1128122
Title :
A Matrix Factorization-Based Structure for Digital Filters
Author :
Li, Gang ; Chu, Jian ; Wu, Jun
Author_Institution :
Zhejiang Univ. of Technol., Hangzhou
Volume :
55
Issue :
10
fYear :
2007
Firstpage :
5108
Lastpage :
5112
Abstract :
In this correspondence, a novel digital filter structure is derived using matrix factorization. This structure, called the LCW-structure, is an improved version of the so-called LGS-structure proposed by Li, Gevers, and Sun [ldquoPerformance Analysis of a New Structure for Digital Filter Implementation,rdquo IEEE Transactions on Circuits and Systems I, vol. 47, no. 4, pp. 474-482, April 2000]. For a digital filter of order , this new structure requires 4N - 1 multiplications and 4N - 1 additions for computing one filter output sample, instead of 7N - 3 and 6N - 3, respectively, which are needed for the LGS-structure. An expression of the roundoff noise gain is derived for the LCW-structure. Design examples are presented to demonstrate the behavior of this structure and to compare with several well-known digital filter structures in terms of minimizing roundoff noise and implementation efficiency.
Keywords :
digital filters; filtering theory; matrix decomposition; roundoff errors; LCW structure; LGS structure; digital filter structure; filter output sample; matrix factorization; roundoff noise gain; Adaptive filters; Adders; Circuits and systems; Differential equations; Digital filters; IIR filters; Lattices; Noise reduction; Polynomials; Sun; Digital filter structures; finite-word-length (FWL) effects; roundoff noise; state-space realizations;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2007.896111
Filename :
4305449
Link To Document :
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