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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F04%3APU44001%21RIV%2F2005%2FAV0%2F262205%2FN
rdf:type
n12:Vysledek skos:Concept
dcterms:description
The wavelet transform is an up-to-date method for digital signal processing used in many branches of technology. One of its applications is the suppression of noise in useful signal. The paper deals with suppressing noise in a signal scanned on the NMR tomograph. The method of sub-band thresholding using the wavelet transform is discussed. This method is used in double denoising filtering of an FID signal and an instantaneous frequency signal. Using a filter bank with uniform ripple, designed by the Remmez algorithm, is of advantage. The wavelet transform is an up-to-date method for digital signal processing used in many branches of technology. One of its applications is the suppression of noise in useful signal. The paper deals with suppressing noise in a signal scanned on the NMR tomograph. The method of sub-band thresholding using the wavelet transform is discussed. This method is used in double denoising filtering of an FID signal and an instantaneous frequency signal. Using a filter bank with uniform ripple, designed by the Remmez algorithm, is of advantage. Odstranění šumu z užitečého signálu je velmi žádaná technika v mnoha technických odvětvích. Waveletovská filtrace je jednou z nejúčinnějších metod, přičemž použití QMF banky filtrů s rovnoměrným zvlněním se ukázalo jako velmi výhodné.
dcterms:title
Denoising of NMR signal using wavelet subband thresholding Ostranění šumu z NMR signálu pomocí waveletovského prahování. Denoising of NMR signal using wavelet subband thresholding
skos:prefLabel
Denoising of NMR signal using wavelet subband thresholding Denoising of NMR signal using wavelet subband thresholding Ostranění šumu z NMR signálu pomocí waveletovského prahování.
skos:notation
RIV/00216305:26220/04:PU44001!RIV/2005/AV0/262205/N
n4:strany
132-136
n4:aktivita
n16:P n16:Z
n4:aktivity
P(IAA2065201), Z(MSM 262200022)
n4:dodaniDat
n20:2005
n4:domaciTvurceVysledku
n9:3737616 n9:4095499 n9:5918367 n9:6157165
n4:druhVysledku
n10:D
n4:duvernostUdaju
n21:S
n4:entitaPredkladatele
n22:predkladatel
n4:idSjednocenehoVysledku
559726
n4:idVysledku
RIV/00216305:26220/04:PU44001
n4:jazykVysledku
n11:eng
n4:klicovaSlova
NMR, wavelet, denoising.
n4:klicoveSlovo
n8:NMR n8:wavelet n8:denoising.
n4:kontrolniKodProRIV
[ADFC803F2BB1]
n4:mistoKonaniAkce
Brno
n4:mistoVydani
Brno
n4:nazevZdroje
Electronic Devices and Systems Conference 2004
n4:obor
n7:JA
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
4
n4:projekt
n15:IAA2065201
n4:rokUplatneniVysledku
n20:2004
n4:tvurceVysledku
Gescheidtová, Eva Steinbauer, Miloslav Bartušek, Karel Kubásek, Radek
n4:typAkce
n18:WRD
n4:zahajeniAkce
2004-09-09+02:00
n4:zamer
n19:MSM%20262200022
s:numberOfPages
5
n17:hasPublisher
Neuveden
n14:isbn
80-214-2701-9
n5:organizacniJednotka
26220