Presentation 2003/5/23
Improvement of Frequency Extraction for noise wave shapes based on Linear predictive Analysis using Auto-correlation and Integral procedure
Kazuo MURAKAWA, Fumihiko ISHIYAMA, Hiroshi YAMANE, Mitsuo HATTORI,
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Abstract(in English) This paper proposes a method of improving frequency extraction for noise forms based on linear predictive analysis (the conventional method) using an auto correlation and an integral procedure. It is necessary to improve frequency extraction characteristics for mains power frequency to radio frequency from EMC mitigation view points. In this paper, the autocorrelation technique is used to reduce white noise effects on frequency extraction, and the integral procedure aims to emphasize the low frequency spectrum of noise. Our proposed method is introduced and examined by numerical simulations and experiments. The errors between the estimated frequency and a given frequency for simulations are 10-15%. These errors are much small than those for the conventional method.
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Keyword(in English) Linear predictive analysis / autocorelation / integral procedure / improvement
Paper # EMCJ2003-21 (2003-05)
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Committee EMCJ
Conference Date 2003/5/23(1days)
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Registration To Electromagnetic Compatibility (EMCJ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Frequency Extraction for noise wave shapes based on Linear predictive Analysis using Auto-correlation and Integral procedure
Sub Title (in English)
Keyword(1) Linear predictive analysis
Keyword(2) autocorelation
Keyword(3) integral procedure
Keyword(4) improvement
1st Author's Name Kazuo MURAKAWA
1st Author's Affiliation NTT Environment and Energy Labs.()
2nd Author's Name Fumihiko ISHIYAMA
2nd Author's Affiliation NTT Environment and Energy Labs.
3rd Author's Name Hiroshi YAMANE
3rd Author's Affiliation NTT Environment and Energy Labs.
4th Author's Name Mitsuo HATTORI
4th Author's Affiliation NTT adovanced technology
Date 2003/5/23
Paper # EMCJ2003-21 (2003-05)
Volume (vol) vol.103
Number (no) 101
Page pp.pp.-
#Pages 7
Date of Issue