Title :
Fast system identification algorithm for non-uniformly sampled noisy biomedical signal
Author :
Wong, Koon-Pong ; Feng, Dagan ; Siu, Wan-chi
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech. Univ., Kowloon, Hong Kong
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 nonuniformly 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
Keywords :
discrete time systems; eigenvalues and eigenfunctions; least squares approximations; medical signal processing; parameter estimation; physiological models; signal sampling; biomedical signal processing; case study; compartmental model; fast system identification algorithm; generalized linear least squares algorithm; nonuniformly sampled noisy biomedical signal; parameter estimation; repeated eigenvalues; Biomedical engineering; Biomedical signal processing; Differential equations; Eigenvalues and eigenfunctions; Least squares approximation; Least squares methods; Parameter estimation; Signal processing; Signal processing algorithms; System identification;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608402
