Presentation	1993/5/21 Adaptive α-Trimmed Mean Filters Based on Local Statistics Akira Taguchi, Yutaka Murata,
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Abstract(in English)	In this paper,we invesigate an adaptive algorithm for α-trimmed mean filters based on the local statistics of the signals.The parameter α of the α-trimmed mean filter is determined by the dat a in the local window.Because the resulting filter is time-variant, it is able to remove noise In smooth areas of the signal,preserve edges and remove impulses.Such filters are paticularly effective in filtering signals corrupted by more than one type of noise,e.g additive Gaussian noise puls impulses because they offer a combination of the properties of the mean and median filters.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	nonlinear filters / α-trimmed mean filters
Paper #	CAS93-23,VLD93-23,DSP93-33
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Conference Information
Committee	CAS
Conference Date	1993/5/21(1days)
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Paper Information
Registration To	Circuits and Systems (CAS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Adaptive α-Trimmed Mean Filters Based on Local Statistics
Sub Title (in English)
Keyword(1)	nonlinear filters
Keyword(2)	α-trimmed mean filters
1st Author's Name	Akira Taguchi
1st Author's Affiliation	Department Electrical and Electronic Engineering,Musash Institute of Technology()
2nd Author's Name	Yutaka Murata
2nd Author's Affiliation	Department Electrical and Electronic Engineering,Musash Institute of Technology
Date	1993/5/21
Paper #	CAS93-23,VLD93-23,DSP93-33
Volume (vol)	vol.93
Number (no)	34
Page	pp.pp.-
#Pages	6
Date of Issue