Using of Wavelet Transform in Signal Processing of Acoustical Signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F02%3A00077527" target="_blank" >RIV/68407700:21230/02:00077527 - 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 of Wavelet Transform in Signal Processing of Acoustical Signals

Original language description

The STFT is a compromise between time and frequency based views of a signals. It provides some information about both when and what frequencies a signal event occurs. The precision of obtained information is limited because it is determined by the size of the window. Wavelet transform represents the next logical step, a windowing technique with a variable-sized region. The major advantage of this method is the ability to perform local analysis - which is to analyse a localized area of a larger signal. Wavelet transform is capable of revealing aspects of data that other signal analyses miss. This transform use different functions (Morlet, Paul, DOG, Daubechies, etc.) for decomposition of a signal then Fourier transform. These functions have different properties (orthogonal-nonorthogonal, complex-real, different with, different shape, etc.).

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BI - Acoustics and oscillation

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2002

Confidentiality

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

Article name in the collection

POSTER 2002 - Book of Extended Abstracts

ISBN

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ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

ČVUT, Fakulta elektrotechnická

Place of publication

Praha

Event location

ČVUT v Praze, FEL

Event date

May 23, 2002

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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