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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F04%3APU43545%21RIV%2F2005%2FAV0%2F262205%2FN
rdf:type
n3: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
Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm Waveletovská protišumová filtrace pomocí QMF banky filtrů navržené Remezovím algoritmem.
skos:prefLabel
Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm Waveletovská protišumová filtrace pomocí QMF banky filtrů navržené Remezovím algoritmem.
skos:notation
RIV/00216305:26220/04:PU43545!RIV/2005/AV0/262205/N
n4:strany
13-16
n4:aktivita
n10:Z n10:P
n4:aktivity
P(IAA2065201), Z(MSM 262200022)
n4:cisloPeriodika
3
n4:dodaniDat
n7:2005
n4:domaciTvurceVysledku
n14:6157165 n14:5918367
n4:druhVysledku
n12:J
n4:duvernostUdaju
n9:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
595020
n4:idVysledku
RIV/00216305:26220/04:PU43545
n4:jazykVysledku
n18:eng
n4:klicovaSlova
Signal denoising, Wavelet, NMR
n4:klicoveSlovo
n11:Wavelet n11:NMR n11:Signal%20denoising
n4:kodStatuVydavatele
SK - Slovenská republika
n4:kontrolniKodProRIV
[A6E2F4E80115]
n4:nazevZdroje
Advances in Electrical and Electronic Engineering
n4:obor
n15:JA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n17:IAA2065201
n4:rokUplatneniVysledku
n7:2004
n4:svazekPeriodika
2004
n4:tvurceVysledku
Bartušek, Karel Kubásek, Radek Gescheidtová, Eva
n4:zamer
n16:MSM%20262200022
s:issn
1336-1376
s:numberOfPages
4
n13:organizacniJednotka
26220