DocumentCode :
833606
Title :
A new identification approach for FIR models
Author :
Lo, Kueiming ; Kwon, Wook Hyun
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
Volume :
49
Issue :
6
fYear :
2002
fDate :
6/1/2002 12:00:00 AM
Firstpage :
439
Lastpage :
446
Abstract :
The identification of stochastic discrete systems disturbed with noise is discussed in this brief. The concept of general prediction error (GPE) criterion is introduced for the time-domain estimate with optimal frequency estimation (OFE) introduced for the frequency-domain estimate. The two estimation methods are combined to form a new identification algorithm, which is called the empirical frequency-domain optimal parameter (EFOP) estimate, for the finite impulse response (FIR) model interfered by noise. The algorithm theoretically provides the global optimum of the model frequency-domain estimate. Some simulation examples are given to illustrate the new identification method.
Keywords :
discrete systems; frequency-domain analysis; parameter estimation; prediction theory; stochastic systems; time-domain analysis; FIR models; empirical frequency-domain optimal parameter estimate; frequency-domain estimate; general prediction error criterion; identification approach; optimal frequency estimation; stochastic discrete systems; time-domain estimate; Adders; CMOS logic circuits; CMOS technology; Circuit synthesis; Finite impulse response filter; Flexible printed circuits; Frequency estimation; Logic design; Page description languages; Voltage;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7130
Type :
jour
DOI :
10.1109/TCSII.2002.802961
Filename :
1038832
Link To Document :
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