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dc.contributor.authorCheng, MHen_US
dc.contributor.authorTsai, JLen_US
dc.date.accessioned2014-12-08T15:27:14Z-
dc.date.available2014-12-08T15:27:14Z-
dc.date.issued1998en_US
dc.identifier.isbn0-7803-4428-6en_US
dc.identifier.issn1520-6149en_US
dc.identifier.urihttp://hdl.handle.net/11536/19472-
dc.description.abstractIn this paper we present a new adaptive notch filter (ANF) using the well-known Steiglitz-McBride method (SMM) [1] for an IIR filter with the constrained poles and zeros. The proposed ANF, termed as SMM-ANF, converges to the unbiased solution, has fast convergence speed, and requires less computational complexity than existing recursive maximum likelihood adaptive notch filters (RML-ANF) [2]. In the stationary environments, we analyze SMM-ANF convergence properties using the ordinary differential equation (ODE) [4] technique; we derive conditions for the SMM-ANF convergence solution unbiased. Simulations further display that SMM-ANF has better resolution in identifying frequencies of multiple sine waves than RML-ANF. In the nonstationary environments, we also show that SMM-ANF and RML-ANF have approximately identical tracking performance. Simulations are also done to verify the theoretically derived results.en_US
dc.language.isoen_USen_US
dc.titleA new adaptive notch filter with constrained poles and zeros using Steiglitz-McBride methoden_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6en_US
dc.citation.spage1469en_US
dc.citation.epage1472en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000074520700368-
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