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231223s1996 xx ||||| 00| ||eng c |
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|a (DE-627)NLM177764422
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|a (NLM)18290078
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Kotropoulos, C
|e verfasserin
|4 aut
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|a Adaptive LMS L-filters for noise suppression in images
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|c 1996
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 02.10.2012
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|a Date Revised 21.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a Several adaptive least mean squares (LMS) L-filters, both constrained and unconstrained ones, are developed for noise suppression in images and compared in this paper. First, the location-invariant LMS L-filter for a nonconstant signal corrupted by zero-mean additive white noise is derived. It is demonstrated that the location-invariant LMS L-filter can be described in terms of the generalized linearly constrained adaptive processing structure proposed by Griffiths and Jim (1982). Subsequently, the normalized and the signed error LMS L-filters are studied. A modified LMS L-filter with nonhomogeneous step-sizes is also proposed in order to accelerate the rate of convergence of the adaptive L-filter. Finally, a signal-dependent adaptive filter structure is developed to allow a separate treatment of the pixels that are close to the edges from the pixels that belong to homogeneous image regions
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|a Journal Article
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|a Pitas, I
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 5(1996), 12 vom: 15., Seite 1596-609
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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|g year:1996
|g number:12
|g day:15
|g pages:1596-609
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