Method for Real-Time Signal Processing via Wavelet Transform

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F06%3APU63569" target="_blank" >RIV/00216305:26220/06:PU63569 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Method for Real-Time Signal Processing via Wavelet Transform

Original language description

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", orin 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 costsby 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 andthe algorithm is described in detail.

Czech name

Metoda pro zpracování signálů v reálném čase pomocí waveletové transformace

Czech description

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", orin 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 costsby 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 andthe algorithm is described in detail.

Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

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

ISBN

3-540-31257-9

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

368-378

Publisher name

Springer

Place of publication

Berlin, Germany

Event location

Barcelona

Event date

Apr 19, 2005

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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