DocumentCode :
2603492
Title :
Performance properties of fixed pole adaptive filters
Author :
Zimmermann, Sergio ; Williamson, Geoffrey A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
1993
fDate :
3-6 May 1993
Firstpage :
56
Abstract :
Performance properties are presented of a new class of pole/zero adaptive filters, obtained by fixing the pole locations of the filter and adapting only the zeros. The structure of these fixed pole adaptive filters is described, and a procedure is developed for selecting the pole locations based on a priori information about the optimal filter. The performance properties of the new structure are compared via simulation with other adaptive filtering structures. The experiments show that the fixed pole adaptive filters enable improved performance relative to adaptive finite impulse response (FIR), Laguerre and Kautz filters, given equal computational burden
Keywords :
IIR filters; adaptive filters; filtering theory; poles and zeros; transfer functions; IIR filters; computational burden; filter performance; fixed pole adaptive filters; mean square error; optimal filter; pole locations; pole/zero adaptive filters; Adaptive filters; Computational modeling; Convergence; Finite impulse response filter; IIR filters; Information filtering; Information filters; Mean square error methods; Poles and zeros; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
Type :
conf
DOI :
10.1109/ISCAS.1993.393656
Filename :
393656
Link To Document :
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