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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F06%3APU62009%21RIV10-GA0-26220___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute the discrete-time wavelet transform of a signal segment-by-segment. This means that the method could be utilized for wavelet-type processing of a signal in %22real time%22, or in case we need to process a long signal (not necessarily in real time), but there is insufficient memory capacity for it (for example in the signal processors). Then it is possible to process the signal part-by-part with low memory costs by the new method. The method is suitable for universal utilization in any place where the signal has to be processed via modification of its wavelet coefficients (e.g. signal de-noising, compression, speech segmentation, music processing, alternative modulation techniques for xDSL systems). It is also possible to use SegWT in wavelet-processing (e.g. compression, selective area processing) of large images. In the paper, the principle of the forward segmented wavelet transform is described. The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute the discrete-time wavelet transform of a signal segment-by-segment. This means that the method could be utilized for wavelet-type processing of a signal in %22real time%22, or in case we need to process a long signal (not necessarily in real time), but there is insufficient memory capacity for it (for example in the signal processors). Then it is possible to process the signal part-by-part with low memory costs by the new method. The method is suitable for universal utilization in any place where the signal has to be processed via modification of its wavelet coefficients (e.g. signal de-noising, compression, speech segmentation, music processing, alternative modulation techniques for xDSL systems). It is also possible to use SegWT in wavelet-processing (e.g. compression, selective area processing) of large images. In the paper, the principle of the forward segmented wavelet transform is described.
dcterms:title
Using the Wavelet Transform in Real-time Digital Signal Processing Using the Wavelet Transform in Real-time Digital Signal Processing
skos:prefLabel
Using the Wavelet Transform in Real-time Digital Signal Processing Using the Wavelet Transform in Real-time Digital Signal Processing
skos:notation
RIV/00216305:26220/06:PU62009!RIV10-GA0-26220___
n4:aktivita
n10:Z n10:P
n4:aktivity
P(GA102/04/1097), P(GA102/06/1233), P(GP102/06/P407), Z(MSM0021630513)
n4:dodaniDat
n17:2010
n4:domaciTvurceVysledku
n14:6936482 n14:5434823
n4:druhVysledku
n21:D
n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n22:predkladatel
n4:idSjednocenehoVysledku
505408
n4:idVysledku
RIV/00216305:26220/06:PU62009
n4:jazykVysledku
n20:eng
n4:klicovaSlova
wavelet transform, segmented wavelet transform
n4:klicoveSlovo
n12:segmented%20wavelet%20transform n12:wavelet%20transform
n4:kontrolniKodProRIV
[FF25823DE5F4]
n4:mistoKonaniAkce
Lodz, Poland
n4:mistoVydani
Lodz, Poland
n4:nazevZdroje
ICSES '06 Internation Conference on Signals and Electronic Systems (Proceedings volume 2 of 2)
n4:obor
n8:JA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n6:GA102%2F04%2F1097 n6:GP102%2F06%2FP407 n6:GA102%2F06%2F1233
n4:rokUplatneniVysledku
n17:2006
n4:tvurceVysledku
Rajmic, Pavel Vlach, Jan
n4:typAkce
n16:WRD
n4:zahajeniAkce
2006-09-17+02:00
n4:zamer
n18:MSM0021630513
s:numberOfPages
4
n5:hasPublisher
CMYK Studio Poligrafii i Reklamy
n11:isbn
83-921172-5-5
n15:organizacniJednotka
26220