Wavelet Use for EEG Signal Segmentation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F99%3A0003310" target="_blank" >RIV/60461373:22340/99:0003310 - 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

Wavelet Use for EEG Signal Segmentation

Original language description

Wavelet transform is a modern tool for signal and image processing. It is used for decomposition, reconstruction, segmentation, denoising and prediction in many engineering and biomedical applications. The paper deals with fundamental differences the Wavelet Transform (WT) and the Short Time Fourier Transform (STFT). The advantage of the WT is in a wide range of analysing functions and the variable resolution for each frequency component. The main part of the paper describes detection ################################################################################################################################################################################################################## of local peaks, which are greater than the given threshold, providing margins of segments. Signal segmentation detects change-points in a non-stationary signal and it divides it into its quasi-stationary seg

Czech name

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Czech description

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Type

A - Audiovisual production

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1999

Confidentiality

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

ISBN

80-227-1228-0

Place of publication

Bratislava, Slovakia

Publisher/client name

12th Conference Process Control '99

Version

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Carrier ID

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