Publication detail

Method for Real-time Signal Processing via Wavelet Transform

RAJMIC, P.

Original Title

Method for Real-time Signal Processing via Wavelet Transform

Type

conference paper

Language

English

Original Abstract

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 described.

Keywords

wavelet transform

Authors

RAJMIC, P.

RIV year

2005

Released

19. 4. 2005

Publisher

Escola Universitaria Politecnica de Mataró

Location

Barcelona

ISBN

84-256-1365-5

Book

Proceedings of the 3th International Conference on Non-Linear Speech Processing

Pages from

214

Pages to

223

Pages count

10

BibTex

@inproceedings{BUT15973,
  author="Pavel {Rajmic}",
  title="Method for Real-time Signal Processing via Wavelet Transform",
  booktitle="Proceedings of the 3th International Conference on Non-Linear Speech Processing",
  year="2005",
  pages="10",
  publisher="Escola Universitaria Politecnica de Mataró",
  address="Barcelona",
  isbn="84-256-1365-5"
}