DocumentCode
1196534
Title
An adaptive IIR algorithm with unimodal performance surfaces
Author
Karni, Shlomo ; Zeng, Gengsheng
Author_Institution
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Volume
36
Issue
2
fYear
1988
fDate
2/1/1988 12:00:00 AM
Firstpage
286
Lastpage
287
Abstract
The authors develop an adaptive IIR (infinite-impulse response) algorithm by means of least squares inverses; the algorithm also guarantees the resulting IIR system to be stable. This IIR algorithm consists of two subalgorithms, i.e. the all-pole Q N( z ) and all-zero P N(z ) algorithms. Both are with quadratic performance surfaces and stable. The iterations for Q N(z ) and P N(z ) can be executed simultaneously or alternatively. The all-pole part is independent of P N(z ), but the all-zero part depends on Q N(z ) at each iteration. In many cases, the all-pole model itself is a fairly good approximation of an IIR system
Keywords
digital filters; filtering and prediction theory; IIR filter; adaptive IIR algorithm; all-pole algorithm; all-pole model; all-zone algorithm; infinite-impulse response; iterations; least squares inverses; quadratic performance surfaces; unimodal performance surfaces; Adaptive algorithm; Adaptive systems; Finite impulse response filter; Gold; Hydrogen; IIR filters; Least squares methods; Polynomials; Signal processing algorithms; Speech processing;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/29.1520
Filename
1520
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