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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F08%3APU78609%21RIV10-MSM-26220___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
Multidimensional time-frequency representations of signals are images of changes in time of signal spectrum and thus play an important role when they are analysed and processed. There is a number of possible ways of time-frequency representation of signals. Their properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the frequency domain but also in the computation complexity during the realization. Today, rapid processing of great amounts of data in a very short period of time is often required. It is, above all, 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. Multidimensional time-frequency representations of signals are images of changes in time of signal spectrum and thus play an important role when they are analysed and processed. There is a number of possible ways of time-frequency representation of signals. Their properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the frequency domain but also in the computation complexity during the realization. Today, rapid processing of great amounts of data in a very short period of time is often required. It is, above all, 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
TIme-Frequency Representation of Signals for Digital Processing TIme-Frequency Representation of Signals for Digital Processing
skos:prefLabel
TIme-Frequency Representation of Signals for Digital Processing TIme-Frequency Representation of Signals for Digital Processing
skos:notation
RIV/00216305:26220/08:PU78609!RIV10-MSM-26220___
n4:aktivita
n15:Z n15:P
n4:aktivity
P(GA102/06/1233), Z(MSM0021630513)
n4:dodaniDat
n11:2010
n4:domaciTvurceVysledku
n7:7271247 n7:6597238
n4:druhVysledku
n21:D
n4:duvernostUdaju
n12:S
n4:entitaPredkladatele
n14:predkladatel
n4:idSjednocenehoVysledku
400075
n4:idVysledku
RIV/00216305:26220/08:PU78609
n4:jazykVysledku
n20:eng
n4:klicovaSlova
Digital signal processors, wavelet transform, Fourier transform, FFT, DWT, digital signal processing, spectrogram, scalegram.
n4:klicoveSlovo
n6:digital%20signal%20processing n6:wavelet%20transform n6:spectrogram n6:Fourier%20transform n6:FFT n6:scalegram. n6:DWT n6:Digital%20signal%20processors
n4:kontrolniKodProRIV
[140557B1C66A]
n4:mistoKonaniAkce
Parádfürdő
n4:mistoVydani
Paradfurdo, Hungary
n4:nazevZdroje
Proceedings of 31st International Conference on TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP 2008
n4:obor
n8:JA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n9:GA102%2F06%2F1233
n4:rokUplatneniVysledku
n11:2008
n4:tvurceVysledku
Mišurec, Jiří Koula, Ivan
n4:typAkce
n18:WRD
n4:wos
000266239500014
n4:zahajeniAkce
2008-09-03+02:00
n4:zamer
n13:MSM0021630513
s:numberOfPages
3
n22:hasPublisher
Budapest University of Technology and Economics, ASSZISZTENCIA Congress Bureau
n17:isbn
978-963-06-5487-6
n16:organizacniJednotka
26220