Information Engineering in Signal and Image Processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F01%3A00003867" target="_blank" >RIV/60461373:22340/01:00003867 - 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

Information Engineering in Signal and Image Processing

Popis výsledku v původním jazyce

Ever-expanding general discipline of signal and image processing occupies a very important position in information engineering forming a basis for further disciplines including control engineering, vision, robotics, biomedical image analysis and environmental signal processing. The paper presents the integration role of this interdisciplinary area connecting physics and mathematics and it provides the survey of selected methods of time-frequency and time-scale analysis using the short-time Fourier Transform (STFT) and wavelet Transform (WT) at first. Comparison of both methods imply the different and varying resolution in case of the wavelet transform and it presents some their properties. Signal decomposition enables very important applications in signal de-noising, compression, segmentation and classification. These general methods can be applied in many areas including biomedical image analysis and environmental signal processing.

Název v anglickém jazyce

Information Engineering in Signal and Image Processing

Popis výsledku anglicky

Ever-expanding general discipline of signal and image processing occupies a very important position in information engineering forming a basis for further disciplines including control engineering, vision, robotics, biomedical image analysis and environmental signal processing. The paper presents the integration role of this interdisciplinary area connecting physics and mathematics and it provides the survey of selected methods of time-frequency and time-scale analysis using the short-time Fourier Transform (STFT) and wavelet Transform (WT) at first. Comparison of both methods imply the different and varying resolution in case of the wavelet transform and it presents some their properties. Signal decomposition enables very important applications in signal de-noising, compression, segmentation and classification. These general methods can be applied in many areas including biomedical image analysis and environmental signal processing.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2001

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proc. of the Conf. IEPC 2001

ISBN

80-902131-7-0

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

37-42

Název nakladatele

Masarykova akademie práce, ČVUT

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

4. 9. 2001

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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