Detail publikace

Method of Forward Segmented Wavelet Transform

Originální název

Method of Forward Segmented Wavelet Transform

Anglický název

Method of Forward Segmented Wavelet Transform

Jazyk

en

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.

Dokumenty

BibTex


@inproceedings{BUT28098,
  author="Pavel {Rajmic}",
  title="Method of Forward Segmented Wavelet Transform",
  annote="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.",
  address="Masaryk University",
  booktitle="Summer School DATASTAT 06, Proceedings",
  chapter="28098",
  institution="Masaryk University",
  year="2007",
  month="december",
  pages="235",
  publisher="Masaryk University",
  type="conference paper"
}