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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/26678

Title
Moving horizon design of discrete coefficient FIR filters
Author/Creator
Quevedo, Daniel E.;  Goodwin, Graham C.
Description
We show how the discrete coefficient filter design problem can be solved with a moving horizon optimization approach. The computation time of this procedure is determined by the optimization horizon and does not grow exponentially with the filter length. ΣΔ design methods are a special case of the proposed procedure.
Relation
IEEE Transactions on Signal Processing Vol. 53, Issue 6, p. 2262-2267
Publisher Link
http://dx.doi.org/10.1109/TSP.2005.847856
Date
2005
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keyword(s)
digital filter wordlength effects;  least mean square methods;  moving horizon optimization;  quadratic programming;  quantized coefficients;  sigma-delta modulation
Resource Type
journal article
Rights
Copyright © 2005 IEEE. Reprinted from IEEE Transactions on Signal Processing, Vol. 53, Issue 6, p. 2262-2267. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Identifier
http://hdl.handle.net/1959.13/26678
Identifier
ISSN:1053-587X
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"IEEE Transactions on Signal Processing"
 
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