Detail publikace

Method for Wavelet-type Signal Processing in Real Time

Originální název

Method for Wavelet-type Signal Processing in Real Time

Anglický název

Method for Wavelet-type Signal Processing in Real Time

Jazyk

en

Originální abstrakt

The new method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-bysegment. 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 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 also for the speech processing, e.g. denoising the speech signal via thresholding the wavelet coefficients or speech coding. In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.

Anglický abstrakt

The new method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-bysegment. 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 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 also for the speech processing, e.g. denoising the speech signal via thresholding the wavelet coefficients or speech coding. In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.

Dokumenty

BibTex


@inproceedings{BUT15945,
  author="Pavel {Rajmic}",
  title="Method for Wavelet-type Signal Processing in Real Time",
  annote="The new method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-bysegment. 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 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 also for the speech processing, e.g. denoising the speech signal via thresholding the wavelet coefficients or speech coding. In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.",
  address="TUDpress",
  booktitle="Proceedings of the 16th Conference Electronic Speech Signal Processing",
  chapter="15945",
  institution="TUDpress",
  year="2005",
  month="september",
  pages="458",
  publisher="TUDpress",
  type="conference paper"
}