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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F06%3APU61637%21RIV07-GA0-26220___
rdf:type
skos:Concept n20:Vysledek
dcterms:description
Wavelet transform make multidimensional time-scale representations of signals which is images of changes in time of short time sub band power and thus play an important role when they are analyzed and processed. The properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the scale domain but also in the computation complexity during the realization. In systems processing signals in real time that minimum delay in processing the signal is of much concern and therefore it is important to tackle the problem of the computation complexity of the algorithms used. Wavelet transform make multidimensional time-scale representations of signals which is images of changes in time of short time sub band power and thus play an important role when they are analyzed and processed. The properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the scale domain but also in the computation complexity during the realization. In systems processing signals in real time that minimum delay in processing the signal is of much concern and therefore it is important to tackle the problem of the computation complexity of the algorithms used. Wavelet transform make multidimensional time-scale representations of signals which is images of changes in time of short time sub band power and thus play an important role when they are analyzed and processed. The properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the scale domain but also in the computation complexity during the realization. In systems processing signals in real time that minimum delay in processing the signal is of much concern and therefore it is important to tackle the problem of the computation complexity of the algorithms used.
dcterms:title
Characteristic feature of wavelet transform. Vlastnosti vlnkové transformace. Vlastnosti vlnkové transformace.
skos:prefLabel
Vlastnosti vlnkové transformace. Vlastnosti vlnkové transformace. Characteristic feature of wavelet transform.
skos:notation
RIV/00216305:26220/06:PU61637!RIV07-GA0-26220___
n4:strany
151-155
n4:aktivita
n10:P n10:Z
n4:aktivity
P(GA102/06/1233), Z(MSM0021630513)
n4:dodaniDat
n9:2007
n4:domaciTvurceVysledku
n14:6597238
n4:druhVysledku
n16:D
n4:duvernostUdaju
n5:S
n4:entitaPredkladatele
n13:predkladatel
n4:idSjednocenehoVysledku
506311
n4:idVysledku
RIV/00216305:26220/06:PU61637
n4:jazykVysledku
n19:cze
n4:klicovaSlova
wavelet transform, wavelet pocket, CWT, DWT, computation complexity
n4:klicoveSlovo
n8:CWT n8:computation%20complexity n8:wavelet%20transform n8:wavelet%20pocket n8:DWT
n4:kontrolniKodProRIV
[EF0476850FD6]
n4:mistoKonaniAkce
Nové Město na Moravě
n4:mistoVydani
Brno
n4:nazevZdroje
RESEARCH IN TELECOMMUNICATION TECHNOLOGY 2006, PROCEEDINGS
n4:obor
n18:JA
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:projekt
n17:GA102%2F06%2F1233
n4:rokUplatneniVysledku
n9:2006
n4:tvurceVysledku
Koula, Ivan
n4:typAkce
n15:CST
n4:zahajeniAkce
2006-09-11+02:00
n4:zamer
n12:MSM0021630513
s:numberOfPages
5
n11:hasPublisher
Vysoké učení technické v Brně
n6:isbn
80-214-3243-8
n21:organizacniJednotka
26220