Detail publikace

Method for Real-Time Signal Processing via Wavelet Transform

RAJMIC, P.

Originální název

Method for Real-Time Signal Processing via Wavelet Transform

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The new method of segmented wavelet transform (SegWT) makes it possible to 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 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.

Klíčová slova

wavelet transform

Autoři

RAJMIC, P.

Rok RIV

2006

Vydáno

1. 1. 2006

Nakladatel

Springer

Místo

Berlin, Germany

ISBN

3-540-31257-9

Kniha

Nonlinear Analyses and Algorithms for Speech Processing (Revised Selected Papers, Springer LNAI 3817)

Strany od

368

Strany do

378

Strany počet

11

BibTex

@inproceedings{BUT21867,
  author="Pavel {Rajmic}",
  title="Method for Real-Time Signal Processing via Wavelet Transform",
  booktitle="Nonlinear Analyses and Algorithms for Speech Processing (Revised Selected Papers, Springer LNAI 3817)",
  year="2006",
  pages="11",
  publisher="Springer",
  address="Berlin, Germany",
  isbn="3-540-31257-9"
}