Presentation 2002/6/20
Frequency estimation of exponentially damped signal in noisy circumstance based on forward and backward linear prediction method
Yongmei LI, Kazunori SUGAHARA, Tomoyuki OSAKI, Ryosuke KONISI,
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Abstract(in English) It is well known that KT method proposed by R. Kumaresan and W. Tufts is used as a popular frequency estimation method of the exponentially damped signal. It is based on linear backward-prediction method and singular value decomposition (SVD). However, it is difficult to estimate frequencies correctly by KT method in the case when the noise increases. In this paper, we propose a frequency estimation method to improve the performance of KT method when the noise increases. In our proposed method, we find the signal zero groups by calculating zeros with several different data record lengths based on the combination of forward-prediction and backward-prediction. The frequency components are calculated by the mean value of the zeros in signal zero groups. Simulation results are shown to confirm the effectiveness of the proposed method.
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Keyword(in English) exponentially damped signal / frequency estimation / forward- and backward-linear prediction method
Paper # CAS2002-7
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Committee CAS
Conference Date 2002/6/20(1days)
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Registration To Circuits and Systems (CAS)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Frequency estimation of exponentially damped signal in noisy circumstance based on forward and backward linear prediction method
Sub Title (in English)
Keyword(1) exponentially damped signal
Keyword(2) frequency estimation
Keyword(3) forward- and backward-linear prediction method
1st Author's Name Yongmei LI
1st Author's Affiliation Faculty of Engineering, Tottori University()
2nd Author's Name Kazunori SUGAHARA
2nd Author's Affiliation Faculty of Engineering, Tottori University
3rd Author's Name Tomoyuki OSAKI
3rd Author's Affiliation Faculty of Engineering, Tottori University
4th Author's Name Ryosuke KONISI
4th Author's Affiliation Faculty of Engineering, Tottori University
Date 2002/6/20
Paper # CAS2002-7
Volume (vol) vol.102
Number (no) 161
Page pp.pp.-
#Pages 6
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