NDLI: Transfer function identification with filtering techniques

Content Provider	IEEE Xplore Digital Library
Author	Farhang-Boroujeny, B. Teng-Tiow Tay
Copyright Year	1991
Abstract	This paper addresses the problem of identifying the transfer function of a plant with the aid of filtering techniques. Conditions for obtaining fair estimates of a transfer function are derived. It is shown that, to be able to reduce the effect of noise and other stochastic effects, highly tuned filters are required. It is also found that proper excitation signals are necessary for effective implementation of the proposed scheme. Some methods for designing the required highly tuned filters are proposed. The relationship between the proposed scheme and existing methods is discussed. It is shown that for some specific cases the proposed scheme is, in effect, a computationally efficient implementation of existing methods. However, for some other cases the proposed scheme gives more accurate results. The theoretical predictions are substantiated with computer simulations.
Sponsorship	IEEE Signal Processing Society
Starting Page	1334
Ending Page	1345
Page Count	12
File Size	1200222
File Format	PDF
ISSN	1053587X
Volume Number	44
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transfer functions Filtering Frequency response Filters Signal design Frequency domain analysis Frequency estimation Working environment noise Signal sampling Noise reduction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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