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Žádný přesný výsledek pro Vargic,, Radoslav nebyl nalezen, zkusme místo něj použít Vargic Radoslav ...
Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Segmentwise Discrete Wavelet Transform
 Průša, Zdeněk ; Vargic,, Radoslav (oponent) ; Dr. Peter L. Sndergaard (oponent) ; Rajmic, Pavel (vedoucí práce)
The dissertation deals with SegDWT algorithms performing a segmented (segmentwise) computation of one- and multi-dimensional Discrete Wavelet Transform – DWT. The segmented approach allows one to perform the segment (block) wavelet analysis and synthesis using segment overlaps while preventing blocking artifacts. The parts of the wavelet coefficients of the whole signal wavelet transform corresponding to the actual segment are produced by the analysis part of the algorithm exploiting overlap-save principle. The resulting coefficients belonging to the segment can be processed arbitrarily and than they can transformed back to the original domain. The reconstructed segments are than put together using overlap add principle. The already known SegDWT algorithm can not be effectively used on multidimensional signals. Several modifications of the algorithm are proposed which makes it possible to generalize it to multidimensional cases using separability property. In addition, the thesis presents SegLWT algorithm adopting ideas of the SegDWT and transferring it to the non-causal lifting filter bank structures.
Úplný záznam
Segmentwise Discrete Wavelet Transform
 Průša, Zdeněk ; Vargic,, Radoslav (oponent) ; Dr. Peter L. Sndergaard (oponent) ; Rajmic, Pavel (vedoucí práce)
The dissertation deals with SegDWT algorithms performing a segmented (segmentwise) computation of one- and multi-dimensional Discrete Wavelet Transform – DWT. The segmented approach allows one to perform the segment (block) wavelet analysis and synthesis using segment overlaps while preventing blocking artifacts. The parts of the wavelet coefficients of the whole signal wavelet transform corresponding to the actual segment are produced by the analysis part of the algorithm exploiting overlap-save principle. The resulting coefficients belonging to the segment can be processed arbitrarily and than they can transformed back to the original domain. The reconstructed segments are than put together using overlap add principle. The already known SegDWT algorithm can not be effectively used on multidimensional signals. Several modifications of the algorithm are proposed which makes it possible to generalize it to multidimensional cases using separability property. In addition, the thesis presents SegLWT algorithm adopting ideas of the SegDWT and transferring it to the non-causal lifting filter bank structures.
Úplný záznam

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