Detail publikace

The Algorithm of Segmented Wavelet Transform

Originální název

The Algorithm of Segmented Wavelet Transform

Anglický název

The Algorithm of Segmented Wavelet Transform

Jazyk

en

Originální abstrakt

The method of segmented wavelet transform (SegDWT) allows computing of the discrete-time wavelet transform (DTWT) 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 insufficient computational memory capacity for it (for example in the DSPs). Then it is possible to process the signal part-by-part with low memory costs by this method. The principle of the segmented forward wavelet transform below.

Anglický abstrakt

The method of segmented wavelet transform (SegDWT) allows computing of the discrete-time wavelet transform (DTWT) 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 insufficient computational memory capacity for it (for example in the DSPs). Then it is possible to process the signal part-by-part with low memory costs by this method. The principle of the segmented forward wavelet transform below.

Dokumenty

BibTex


@misc{BUT63676,
  author="Pavel {Rajmic}",
  title="The Algorithm of Segmented Wavelet Transform",
  annote="The method of segmented wavelet transform (SegDWT) allows computing of the discrete-time wavelet transform (DTWT) 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 insufficient computational memory capacity for it (for example in the DSPs). Then it is possible to process the signal part-by-part with low memory costs by this method. The principle of the segmented forward wavelet transform below.",
  booktitle="Poster na mezinárodní konferenci Trends in Harmonic Analysis",
  chapter="63676",
  edition="Trends in Harmonic Analysis",
  year="2007",
  month="june",
  pages="1",
  type="presentation"
}