Result with impact on practice detail

The Algorithm of Segmented Wavelet Transform

RAJMIC, P.

Original Title

The Algorithm of Segmented Wavelet Transform

English Title

The Algorithm of Segmented Wavelet Transform

Type

Audiovisual work

Original Abstract

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.

English abstract

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.

Keywords

segmented wavelet transform

Key words in English

segmented wavelet transform

Authors

RAJMIC, P.

Released

18.06.2007

Location

Strobl, Austria

Book

Poster na mezinárodní konferenci Trends in Harmonic Analysis

Edition

Trends in Harmonic Analysis

Pages from

1

Pages count

1

URL

http://www.univie.ac.at/nuhag-php/strobl07

BibTex

@misc{BUT63676,
  author="Pavel {Rajmic}",
  title="The Algorithm of Segmented Wavelet Transform",
  booktitle="Poster na mezinárodní konferenci Trends in Harmonic Analysis",
  year="2007",
  series="Trends in Harmonic Analysis",
  edition="1",
  pages="1",
  address="Strobl, Austria",
  url="http://www.univie.ac.at/nuhag-php/strobl07",
  note="Audiovisual work"
}