Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1887
Title: Fast system identification algorithm for non-uniformly sampled noisy biomedical signal
Authors: Wong, KP
Feng, DD
Siu, WC 
Keywords: Discrete time systems
Eigenvalues and eigenfunctions
Least squares approximations
Medical signal processing
Parameter estimation
Physiological models
Signal sampling
Issue Date: 1996
Publisher: IEEE
Source: 1996 IEEE TENCON Digital Signal Processing Applications proceedings : The University of Western Australia, Perth, Western Australia, 26-29 November, 1996, v. 2, p. 559-564 How to cite?
Abstract: The recently developed generalized linear least squares (GLLS) algorithm has been found very useful in non-uniformly sampled biomedical signal processing and parameter estimation. In this paper, the algorithm is used for the identification of a compartmental model with a pair of repeated eigenvalues based on the non-uniformly sampled noisy data. A case study is presented, which demonstrates that the algorithm is able to select the most suitable model for the system from the non-uniformly sampled noisy signals.
URI: http://hdl.handle.net/10397/1887
ISBN: 0-7803-3679-8
DOI: 10.1109/TENCON.1996.608402
Rights: © 1996 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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