Using constrained cubic spline instead of natural cubic spline to eliminate overshoot and undershoot in Hilbert Huang transform

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F12%3A00309375" target="_blank" >RIV/68407700:21220/12:00309375 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CarpathianCC.2012.6228658" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2012.6228658</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CarpathianCC.2012.6228658" target="_blank" >10.1109/CarpathianCC.2012.6228658</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using constrained cubic spline instead of natural cubic spline to eliminate overshoot and undershoot in Hilbert Huang transform

Popis výsledku v původním jazyce

Hilbert-Huang Transform (HHT), proposed by N. E. Huang in 1998, is a novel algorithm for nonlinear and non-stationary signal processing. The key part of this method is decomposition the signal into finite number of Intrinsic Mode Functions (IMF) which will meet the requirements of Hilbert Transform. In this part, the algorithm uses natural cubic spline to connect all local maxima and local minima to produce upper and lower envelope of the signal. However natural cubic spline which may lead overshoot and undershoot at intermediate point. In this paper we propose to apply constrained cubic spline into first part of the HHT to eliminate overshoot in upper and lower envelope. We also propose an improvement on Improved Slope Base Method (ISBM) to limit swing at the end points. The experiments showed that our proposals get better result than original proposal and speed up Empirical Mode Decomposition (EMD) process. 2012 IEEE.

Název v anglickém jazyce

Using constrained cubic spline instead of natural cubic spline to eliminate overshoot and undershoot in Hilbert Huang transform

Popis výsledku anglicky

Hilbert-Huang Transform (HHT), proposed by N. E. Huang in 1998, is a novel algorithm for nonlinear and non-stationary signal processing. The key part of this method is decomposition the signal into finite number of Intrinsic Mode Functions (IMF) which will meet the requirements of Hilbert Transform. In this part, the algorithm uses natural cubic spline to connect all local maxima and local minima to produce upper and lower envelope of the signal. However natural cubic spline which may lead overshoot and undershoot at intermediate point. In this paper we propose to apply constrained cubic spline into first part of the HHT to eliminate overshoot in upper and lower envelope. We also propose an improvement on Improved Slope Base Method (ISBM) to limit swing at the end points. The experiments showed that our proposals get better result than original proposal and speed up Empirical Mode Decomposition (EMD) process. 2012 IEEE.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 13th International Carpathian Control Conference

ISBN

9781457718687

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

300-306

Název nakladatele

Technical University of Košice

Místo vydání

Košice

Místo konání akce

Podbánské

Datum konání akce

28. 5. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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