Presentation 2006/9/20
Power-line Interference Removability of Adaptive Digital Filters
Tomoyuki KAMITANI, Naohiro TODA,
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Abstract(in English) Biological signals such as electroencephalogram(EEG), electroretinogram(ERG), electromyogram(EMG) or electrocardiogram(ECG) are contaminated by large power-line interference. In spite of modern high performance instrumentation amplifiers, there are many cases in which it is difficult to remove such alternative noise entirely. A possibility of adaptive filters for removing such noise is known. However, in the fields of biological signals, few detailed discussions about the adaptive filters are given. In this paper we perform numerical experiments in which the adaptive algorithms(LMS and RLS) fail in removing such alternative noise in the case that the amplitudes of harmonics of alternative noise are not same. And we show that a reason for this phenomenon is that the condition number of the covariance matrices of these signals become high when the amplitudes of harmonics differ each other.
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Keyword(in English) biological signal / alternative noise elimination / adaptive digital filter / condition number
Paper # SIP2006-75,SIS2006-38,SP2006-61
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Committee SIS
Conference Date 2006/9/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Power-line Interference Removability of Adaptive Digital Filters
Sub Title (in English)
Keyword(1) biological signal
Keyword(2) alternative noise elimination
Keyword(3) adaptive digital filter
Keyword(4) condition number
1st Author's Name Tomoyuki KAMITANI
1st Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University()
2nd Author's Name Naohiro TODA
2nd Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University
Date 2006/9/20
Paper # SIP2006-75,SIS2006-38,SP2006-61
Volume (vol) vol.106
Number (no) 262
Page pp.pp.-
#Pages 5
Date of Issue