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  • The aim of this paper is to present of standard median and recursive median one-dimensional nonlinear filters. Median filtering is a popular method of noise removal, employed extensively in applications involving speech, signal and image processing. Thi s non-linear technique has proven to be a good alternative to linear filtering as it can effectively suppress impulse noise while preserving edge information. The applications in industry and biomedical signal processing are presented in this article.
  • The aim of this paper is to present of standard median and recursive median one-dimensional nonlinear filters. Median filtering is a popular method of noise removal, employed extensively in applications involving speech, signal and image processing. Thi s non-linear technique has proven to be a good alternative to linear filtering as it can effectively suppress impulse noise while preserving edge information. The applications in industry and biomedical signal processing are presented in this article. (en)
Title
  • Median filters theory and applications
  • Median filters theory and applications (en)
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  • Median filters theory and applications
  • Median filters theory and applications (en)
skos:notation
  • RIV/49777513:23640/03:00000123!RIV/2004/MSM/236404/N
http://linked.open.../vavai/riv/strany
  • 233-237
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  • P(LN00B084)
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  • 614750
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  • RIV/49777513:23640/03:00000123
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  • standard median filter;recursive median filter;impulse noise (en)
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  • [625C1A43597C]
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  • Bursa
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  • Istanbul
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  • ELECO ´2003
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  • Štork, Milan
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number of pages
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  • UMUT Matbaacilik
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  • 975-395-667-3
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  • 23640
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