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Titolo:
MODELING 1-D SIGNALS USING HERMITE BASIS FUNCTIONS
Autore:
RASIAH AI; TOGNERI R; ATTIKIOUZEL Y;
Indirizzi:
MOTOROLA AUSTRALIA SOFTWARE CTR ADELAIDE SA AUSTRALIA UNIV WESTERN AUSTRALIA,DEPT ELECT & ELECT ENGN,CTR INTELLIGENT INFORMAT PROC SYST NEDLANDS WA 6907 AUSTRALIA
Titolo Testata:
IEE proceedings. Vision, image and signal processing
fascicolo: 6, volume: 144, anno: 1997,
pagine: 345 - 354
SICI:
1350-245X(1997)144:6<345:M1SUHB>2.0.ZU;2-G
Fonte:
ISI
Lingua:
ENG
Keywords:
HERMIT FUNCTION; QRS DETECTION; ECG ANALYSIS; PATTERN RECOGNITION; GAUSSIAN QUADRATURES; LMS ESTIMATION;
Tipo documento:
Article
Natura:
Periodico
Citazioni:
13
Recensione:
Indirizzi per estratti:
Citazione:
A.I. Rasiah et al., "MODELING 1-D SIGNALS USING HERMITE BASIS FUNCTIONS", IEE proceedings. Vision, image and signal processing, 144(6), 1997, pp. 345-354

Abstract

The paper discusses a method for estimating the Hermite coefficients of a discrete-time one-dimensional signal. To estimate the Hermite coefficients a solution based on Gaussian quadratures is used. The paper also looks at various least mean squared (LMS) estimation methods to estimate two further parameters which are incorporated into the orthonormal Hermite basis function: a spread term and a shift term. In addition, the effects of scaling, dilation and translates of a signal on itsHermite coefficients, spread and shift terms are presented. The paperconcludes with a brief discussion on the potential application of theHermite parameters as features for use in problems requiring shape discrimination within a one-dimensional signal. It also mentions those applications where this was found to be appropriate.

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Documento generato il 03/07/20 alle ore 01:40:38