Presentation 2009-06-11
Improvement of Background Signal Reduction Using Modified Trimmed Mean Based Outer Product Expansion
Akitoshi ITAI, Hiroshi YASUKAWA, Ichi TAKUMI, Masayasu HATA,
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Abstract(in English) This paper shows a new denoising algorithm based on the outer product expansion with Modified Trimmed Mean (MTM) for the background noise. We have proposed novel source separation methods using the outer product expansion with non-linear filters. The effectiveness of outer product expansions for artificial signals and an electromagnetic wave data was represented. As for an outer product expansion based denoising algorithm, the MTM method with a small trimming distance provides the accurate background noise reduction. However, the denoising performance is not improved enough when the trimming distance is too small. In this paper, the new background noise estimation technique which calculates the MTM recurrently with a small threshold and its solution algorithm are proposed. Simulation results shows that the proposed method produces the accurate background noise reduction.
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Keyword(in English) outer product expansion / background noise / noise reduction / modified trimmed mean
Paper # SIS2009-1
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Committee SIS
Conference Date 2009/6/4(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Background Signal Reduction Using Modified Trimmed Mean Based Outer Product Expansion
Sub Title (in English)
Keyword(1) outer product expansion
Keyword(2) background noise
Keyword(3) noise reduction
Keyword(4) modified trimmed mean
1st Author's Name Akitoshi ITAI
1st Author's Affiliation Aichi Prefectural University()
2nd Author's Name Hiroshi YASUKAWA
2nd Author's Affiliation Aichi Prefectural University
3rd Author's Name Ichi TAKUMI
3rd Author's Affiliation Nagoya Institute of Technology
4th Author's Name Masayasu HATA
4th Author's Affiliation Collage of Engineering, Chubu University
Date 2009-06-11
Paper # SIS2009-1
Volume (vol) vol.109
Number (no) 78
Page pp.pp.-
#Pages 5
Date of Issue