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Description
  • In this paper, we propose optimized method of discrete wavelet transform. There is many use of wavelet transform in digital signal processing (compression, wireless sensor networks, etc.). In those fields, it is necessary to have digital signal processing as fast as it possible. The new segmented discrete wavelet transform (SegWT) has been developed to process in real-time. It is possible to process the signal part-by-part with low memory costs by the new method. In the paper, the principle and benefits of the segmented wavelet transform is explained.
  • In this paper, we propose optimized method of discrete wavelet transform. There is many use of wavelet transform in digital signal processing (compression, wireless sensor networks, etc.). In those fields, it is necessary to have digital signal processing as fast as it possible. The new segmented discrete wavelet transform (SegWT) has been developed to process in real-time. It is possible to process the signal part-by-part with low memory costs by the new method. In the paper, the principle and benefits of the segmented wavelet transform is explained. (en)
  • V tomto článku je popisována optimalizována metoda diskrétní waveletové tranformace. Waveletová tranformace se používá v číslicovém zpracování signálů (komprese, bezdrátové senzorové systémy, atd.). V takových odvětvích je třeba, aby zpracování signálů bylo co nejrychlejší. Nová segmentovaná diskrétní waveletová transformace (SegWT) byla vyvinutá pro zpracování v reálném čase. Díky této metodě je možné zpracovávat signál segment po segmentu s nízkými nároky na paměť výpočetní jednotky. V tomtu článku jsou popsány výhody segmentované tranformace. (cs)
Title
  • Face detection in image with complex background, Springer Verlag
  • Hledání obličeje v obrazech s komplexním pozadím (cs)
  • Face detection in image with complex background, Springer Verlag (en)
skos:prefLabel
  • Face detection in image with complex background, Springer Verlag
  • Hledání obličeje v obrazech s komplexním pozadím (cs)
  • Face detection in image with complex background, Springer Verlag (en)
skos:notation
  • RIV/00216305:26220/07:PU69254!RIV08-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 533-544
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET301710509), Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika
  • 9
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 421543
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU69254
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • face detection, dace localization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [38ACE77014A7]
http://linked.open...i/riv/nazevZdroje
  • Mobile and Wireless Communication Networks
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2007
http://linked.open...iv/tvurceVysledku
  • Přinosil, Jiří
  • Vlach, Jan
http://linked.open...n/vavai/riv/zamer
issn
  • 1571-5736
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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