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Description
  • Tento článek se zabývá optimalizovanou metodou waveletové transformace. Existuje mnoho využití waveletové transformace v oblasti zpracování signálů (komprese, bezdrátové senzorové systémy, apod.). V takových aplikacích je nutné mít zpracování tak rychlé, jak je to jen možné. K dispozici je způsob zpracování waveletové transformce s velice minimálními paměťovými nároky. Výhody a nevýhody tohoto způsobu jsou v tomto článku vysvětleny. (cs)
  • 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 if 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 if the segmented wavelet transform is explained. (en)
Title
  • Discrete wavelet transform frame-by-frame in signal processing
  • Disktrétní dopředná waveletová transformace, zpracovávána rámec po rámci. (cs)
  • Discrete wavelet transform frame-by-frame in signal processing (en)
skos:prefLabel
  • Discrete wavelet transform frame-by-frame in signal processing
  • Disktrétní dopředná waveletová transformace, zpracovávána rámec po rámci. (cs)
  • Discrete wavelet transform frame-by-frame in signal processing (en)
skos:notation
  • RIV/00216305:26220/07:PU70308!RIV08-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 1-5
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/1303), P(GP102/06/P407), Z(MSM0021630513)
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
  • 417497
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU70308
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • wavelet transform, discrete wavelet transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EABFB273D590]
http://linked.open...v/mistoKonaniAkce
  • Liptovský Ján
http://linked.open...i/riv/mistoVydani
  • Žilina
http://linked.open...i/riv/nazevZdroje
  • Research in Telecommunication Technology RTT - 2007
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...iv/tvurceVysledku
  • Vlach, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-8070-735-4
http://localhost/t...ganizacniJednotka
  • 26220
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