Detail publikačního výsledku

Method of Forward Segmented Wavelet Transform

RAJMIC, P.

Originální název

Method of Forward Segmented Wavelet Transform

Anglický název

Method of Forward Segmented Wavelet Transform

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The method of segmented wavelet transform (SegWT) allows computing of 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 "real time", or in case we need to process a long signal (not necessarily in real time), but there is insuffcient computational 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. In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.

Anglický abstrakt

The method of segmented wavelet transform (SegWT) allows computing of 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 "real time", or in case we need to process a long signal (not necessarily in real time), but there is insuffcient computational 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. In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.

Klíčová slova

SegWT, wavelet transform, segmentation, real-time signal processing

Klíčová slova v angličtině

SegWT, wavelet transform, segmentation, real-time signal processing

Autoři

RAJMIC, P.

Vydáno

20.12.2007

Nakladatel

Masaryk University

Místo

Brno

ISBN

978-80-210-4493-7

Kniha

Summer School DATASTAT 06, Proceedings

Strany od

235

Strany počet

10

BibTex

@inproceedings{BUT28098,
  author="Pavel {Rajmic}",
  title="Method of Forward Segmented Wavelet Transform",
  booktitle="Summer School DATASTAT 06, Proceedings",
  year="2007",
  pages="10",
  publisher="Masaryk University",
  address="Brno",
  isbn="978-80-210-4493-7"
}