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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F04%3APU43989%21RIV%2F2005%2FAV0%2F262205%2FN
rdf:type
skos:Concept n8:Vysledek
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 pomocí subpásmového prahování za použití banky filtrů navržené Remezovým algoritmem je hlavní náplní článu. NMR signál změřený na tomografu UPT v Brně posloužil jako vhodný příklad.
dcterms:title
Wavelet denoising of NMR signal Wavelet denoising of NMR signal Wavelet denoising of NMR signal
skos:prefLabel
Wavelet denoising of NMR signal Wavelet denoising of NMR signal Wavelet denoising of NMR signal
skos:notation
RIV/00216305:26220/04:PU43989!RIV/2005/AV0/262205/N
n3:strany
127-130
n3:aktivita
n13:P n13:Z
n3:aktivity
P(IAA2065201), Z(MSM 262200022)
n3:dodaniDat
n19:2005
n3:domaciTvurceVysledku
n12:6157165 n12:5918367 n12:4095499
n3:druhVysledku
n9:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
595019
n3:idVysledku
RIV/00216305:26220/04:PU43989
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Denoising filtering, wavelet, NMR
n3:klicoveSlovo
n14:NMR n14:wavelet n14:Denoising%20filtering
n3:kontrolniKodProRIV
[9B6F9E88E64D]
n3:mistoKonaniAkce
Plzeň
n3:mistoVydani
Plzeň
n3:nazevZdroje
Applied Electronics 2004
n3:obor
n20:JA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n15:IAA2065201
n3:rokUplatneniVysledku
n19:2004
n3:tvurceVysledku
Bartušek, Karel Kubásek, Radek Gescheidtová, Eva
n3:typAkce
n17:CST
n3:zahajeniAkce
2004-09-08+02:00
n3:zamer
n18:MSM%20262200022
s:numberOfPages
4
n22:hasPublisher
Neuveden
n11:isbn
80-7043-274-8
n7:organizacniJednotka
26220