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  • This paper presents a novel algorithm for segmented (segmentwise) computation of forward and inverse wavelet transform via a lifting scheme, applicable to any type of a lifting scheme representation of wavelets. The main idea is to process segments taken from a long one-dimensional signal so that after reconstruction, no border distortion between segments occurs.This is achieved by means of sophisticated segment overlapping. In this work, arbitrary and possibly varying segment lengths are considered. The derivation of formulas for overlap enumeration is the main concern of this work. The algorithm produces sets of coefficients for each segment. These sets from each segment ordered correctly are exactly the same coefficients the whole signal discrete wavelet transform results in. Similarly, the whole signal inverse discrete wavelet transform is equal to applying the algorithm to sets of coefficients and overlapping the results accordingly. The algorithm makes it possible to process signals in real-time
  • This paper presents a novel algorithm for segmented (segmentwise) computation of forward and inverse wavelet transform via a lifting scheme, applicable to any type of a lifting scheme representation of wavelets. The main idea is to process segments taken from a long one-dimensional signal so that after reconstruction, no border distortion between segments occurs.This is achieved by means of sophisticated segment overlapping. In this work, arbitrary and possibly varying segment lengths are considered. The derivation of formulas for overlap enumeration is the main concern of this work. The algorithm produces sets of coefficients for each segment. These sets from each segment ordered correctly are exactly the same coefficients the whole signal discrete wavelet transform results in. Similarly, the whole signal inverse discrete wavelet transform is equal to applying the algorithm to sets of coefficients and overlapping the results accordingly. The algorithm makes it possible to process signals in real-time (en)
Title
  • Segmented computation of wavelet transform via lifting scheme
  • Segmented computation of wavelet transform via lifting scheme (en)
skos:prefLabel
  • Segmented computation of wavelet transform via lifting scheme
  • Segmented computation of wavelet transform via lifting scheme (en)
skos:notation
  • RIV/00216305:26220/11:PU94266!RIV12-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, 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
  • 228589
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU94266
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • wavelet transform, lifting scheme, parallelization, segments, real-time (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6A0464BC7733]
http://linked.open...v/mistoKonaniAkce
  • Budapest
http://linked.open...i/riv/mistoVydani
  • Budapest
http://linked.open...i/riv/nazevZdroje
  • 34rd International Conference on TELECOMMUNICATIONS AND SIGNAL PROCESSING
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Průša, Zdeněk
  • Rajmic, Pavel
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
  • ASSZISZTENCIA Congress Bureau
https://schema.org/isbn
  • 978-1-4577-1409-2
http://localhost/t...ganizacniJednotka
  • 26220
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