Hilbert-Huang Transform and Its Applications in Engineering and Biomedical Signal Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F12%3A43915668" target="_blank" >RIV/49777513:23220/12:43915668 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Hilbert-Huang Transform and Its Applications in Engineering and Biomedical Signal Analysis

Popis výsledku v původním jazyce

Hilbert Huang transform (HHT) is a relatively new method. It seems to be very promising for the different applications in signal processing because it could calculate instantaneous frequency and amplitude which is also important for the biomedical signals. HHT consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has been used extensively in biomedical research. Most traditional data processing methodologies are developed under rigorous mathematic rules and we pay a price for this strict adherence to mathematical rigor. Therefore, data processing has never received the deserved aims as data analysis should, and data processing has never fulfilled its full potential - extracting the information hidden in time series. For example, spectral analysis is synonymous with Fourier-based analysis but the Fourier spectra can only give meaningful interpretation to linear and stationary processes and application to data

Název v anglickém jazyce

Hilbert-Huang Transform and Its Applications in Engineering and Biomedical Signal Analysis

Popis výsledku anglicky

Hilbert Huang transform (HHT) is a relatively new method. It seems to be very promising for the different applications in signal processing because it could calculate instantaneous frequency and amplitude which is also important for the biomedical signals. HHT consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has been used extensively in biomedical research. Most traditional data processing methodologies are developed under rigorous mathematic rules and we pay a price for this strict adherence to mathematical rigor. Therefore, data processing has never received the deserved aims as data analysis should, and data processing has never fulfilled its full potential - extracting the information hidden in time series. For example, spectral analysis is synonymous with Fourier-based analysis but the Fourier spectra can only give meaningful interpretation to linear and stationary processes and application to data

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0094" target="_blank" >ED2.1.00/03.0094: Regionální inovační centrum elektrotechniky (RICE)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

RECENT RESEARCHES in CIRCUITS and SYSTEMS

ISBN

978-1-61804-108-1

ISSN

1790-5117

e-ISSN

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Počet stran výsledku

8

Strana od-do

188-195

Název nakladatele

WSEAS Press

Místo vydání

Greece

Místo konání akce

KOS - Greece

Datum konání akce

14. 7. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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