Using the Wavelet Transform in Real-time Digital Signal Processing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F06%3APU62009" target="_blank" >RIV/00216305:26220/06:PU62009 - 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

Using the Wavelet Transform in Real-time Digital Signal Processing

Original language description

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 thee 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.

Czech name

Využití waveletové transforamce při zpracování signálů v realném čase

Czech description

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 thee 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.

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)

Publication year

2006

Confidentiality

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

Article name in the collection

ICSES '06 Internation Conference on Signals and Electronic Systems (Proceedings volume 2 of 2)

ISBN

83-921172-5-5

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

721-724

Publisher name

CMYK Studio Poligrafii i Reklamy

Place of publication

Lodz, Poland

Event location

Lodz, Poland

Event date

Sep 17, 2006

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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