NDLI: Sequential order selection for real time signal processing

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Sequential order selection for real time signal processing

Content Provider	IEEE Xplore Digital Library
Author	Ni, H. Adali, T.
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci. & Electr. Eng., Maryland Univ., Baltimore, MD, USA (Ni, H.)
Abstract	In this paper, we address the problem of order selection in signal processing applications for the general case where the observations can have correlations in time and require sequential processing. We consider the finite normal mixtures (FNM) model as an example for which correct order selection is very important. We derive penalized partial likelihood as the information theoretic criterion for order selection for the general case where observations can have correlations. We propose a sequential order selection procedure and investigate its properties and give a number of examples in channel equalization showing the effectiveness of the approach.
Starting Page	105
Ending Page	114
File Size	491312
Page Count	10
File Format	PDF
ISBN	0780362780
ISSN	10893555
DOI	10.1109/NNSP.2000.889367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-12-11
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Maximum likelihood estimation Computer science Application software Estimation theory Engineering profession Costs Vectors Additive noise Additive white noise
Content Type	Text
Resource Type	Article

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