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Fuzzy Transforms in Removing Noise

2006
The technique of fuzzy transform (F-transform for short) has been introduced in [6, 5]. It consists of two phases: direct and inverse. We have proved that the inverse F-transform has good approximation properties and is very simple to use.
Irina Perfilieva, Radek Valášek
openaire   +1 more source

Abdominal fetal EKG noise removal.

Biomedical sciences instrumentation, 1996
Accurate detection of the fetal heart signal (FEKG) early during pregnancy enhances the physician's ability to diagnose possible congenital cardiac defects. However, FEKG acquisition is hampered by excessive noise contamination from the maternal ekg (MEKG) and uterine muscular contraction.A new computerized system was developed to record FEKG and MEKG ...
J, Kwon, R, Shandas
openaire   +1 more source

Seismic interference noise removal

SEG Technical Program Expanded Abstracts 2001, 2001
N. Gülünay, D. Pattberg
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Noise Removal

2008
Lina J. Karam, Naji Mounsef
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Predictive Scattered Noise Removal

66th EAGE Conference & Exhibition, 2004
G.C. Herman, C. Perkins
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Physiological Noise Removal from fNIRS Signals

Biomedical Engineering / Biomedizinische Technik, 2013
G, Bauernfeind   +3 more
openaire   +2 more sources

Removal of Noise and Artifacts

2011
Several types of noise and artifacts affect the quality of images obtained even with imaging systems of the highest quality and under the most carefully designed experimental conditions. As a consequence, the removal of noise and artifacts is an important preprocessing step in the analysis of images; see Rangayyan [6] for detailed discussions on ...
openaire   +1 more source

Notice of Removal Low-frequency image noise removal using white noise filter

2016 IEEE International Conference on Image Processing (ICIP), 2016
Meisam Rakhshanfar, Maria A. Amer
openaire   +1 more source

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