DocumentCode
1123320
Title
Delayed block transfer function in the frequency domain
Author
Kanai, Hiroshi ; Hori, Toyohiko ; Chubachi, Noriyoshi ; Ono, Takahiko
Author_Institution
Dept. of Electr. Eng., Tohoku Univ., Sendai, Japan
Volume
42
Issue
7
fYear
1994
fDate
7/1/1994 12:00:00 AM
Firstpage
1669
Lastpage
1684
Abstract
When the impulse response of a transfer system is long, it is difficult for the standard cross spectrum method to obtain an accurate estimate of the transfer function by applying the fast Fourier transform (FFT) with a finite length window. The bias error in the estimate is large especially around the resonant frequency of the transfer system. In the paper, therefore, the authors propose an alternative new method to obtain an accurate estimate of the transfer function. The delayed block transfer function is introduced to detect the components that are correlated to the signal in the input window but leak from the output window. Based on these transfer functions, the total characteristics of the transfer system are estimated accurately. In the latter half of the paper, the authors derive the theoretical expressions for the bias errors in the transfer functions estimated by the proposed and the standard methods. By thoroughly comparing the resultant expressions, the superiority and the usefulness of the proposed method are theoretically confirmed. Finally, the simulation experiments show the advantages of the proposed method
Keywords
delays; frequency-domain analysis; parameter estimation; signal processing; spectral analysis; transfer functions; transient response; bias error; delayed block transfer function; frequency domain; impulse response; input window; output window; resonant frequency; transfer system; Delay estimation; Fast Fourier transforms; Frequency domain analysis; Frequency estimation; Leak detection; Maximum likelihood estimation; Resonant frequency; Spectral analysis; Stability; Transfer functions;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.298275
Filename
298275
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