Detail publikace

Using the Wavelet Transform in Real-time Digital Signal Processing

Originální název

Using the Wavelet Transform in Real-time Digital Signal Processing

Anglický název

Using the Wavelet Transform in Real-time Digital Signal Processing

Jazyk

en

Originální abstrakt

The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute 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 insufficient 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. The method is suitable for universal utilization in any place where the signal has to be processed via modification of its wavelet coefficients (e.g. signal de-noising, compression, speech segmentation, music processing, alternative modulation techniques for xDSL systems). It is also possible to use SegWT in wavelet-processing (e.g. compression, selective area processing) of large images. In the paper, the principle of the forward segmented wavelet transform is described.

Anglický abstrakt

The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute 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 insufficient 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. The method is suitable for universal utilization in any place where the signal has to be processed via modification of its wavelet coefficients (e.g. signal de-noising, compression, speech segmentation, music processing, alternative modulation techniques for xDSL systems). It is also possible to use SegWT in wavelet-processing (e.g. compression, selective area processing) of large images. In the paper, the principle of the forward segmented wavelet transform is described.

Dokumenty

BibTex


@inproceedings{BUT19520,
  author="Jan {Vlach} and Pavel {Rajmic}",
  title="Using the Wavelet Transform in Real-time Digital Signal Processing",
  annote="The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute 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 insufficient 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. The method is suitable for universal utilization in any place where the signal has to be processed via modification of its wavelet coefficients (e.g. signal de-noising, compression, speech segmentation, music processing, alternative modulation techniques for xDSL systems). It is also possible to use SegWT in wavelet-processing (e.g. compression, selective area processing) of large images. In the paper, the principle of the forward segmented wavelet transform is described.",
  address="CMYK Studio Poligrafii i Reklamy",
  booktitle="ICSES '06 Internation Conference on Signals and Electronic Systems (Proceedings volume 2 of 2)",
  chapter="19520",
  institution="CMYK Studio Poligrafii i Reklamy",
  year="2006",
  month="september",
  pages="721",
  publisher="CMYK Studio Poligrafii i Reklamy",
  type="conference paper"
}