NDLI: Practical considerations in the use of a new OBE algorithm that blindly estimates error bounds

Content Provider	IEEE Xplore Digital Library
Author	Joachim, D. Deller Jr., J.R. Nayeri, M.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA (Joachim, D.)
Abstract	Optimal bounding ellipsoid (OBE) identification algorithms require precise knowledge of bounds on model disturbance sequences, and such bounds are often difficult to ascertain in practice. The OBE algorithm with automatic bound estimation (OBE-ABE) theoretically obviates the need for precise a priori bound estimates, thereby removing the major obstacle to practical application of these powerful and interesting methods. Performance assessment of OBE-ABE, particularly with regard to its favorable convergence behavior, has involved asymptotic analysis over infinite frames of data. This paper discusses application of OBE-ABE to short-time frames of data, suggesting that the favorable asymptotic results apply to finite processing if care is taken in the choice of certain parameters. Example case studies, one using real speech data, illustrate the theoretical discussions.
Starting Page	762
Ending Page	765
File Size	421994
Page Count	4
File Format	PDF
ISBN	0780336941
DOI	10.1109/MWSCAS.1997.662186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-08-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Ellipsoids Speech processing Adaptive signal processing Estimation theory Convergence Performance analysis Signal processing Technological innovation Noise robustness
Content Type	Text
Resource Type	Article

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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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