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Titolo:
Feature identification in the time-frequency plane by using the Hough-Radon transform
Autore:
Rangayyan, RM; Krishnan, S;
Indirizzi:
Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada Univ Calgary Calgary AB Canada T2N 1N4 Engn, Calgary, AB T2N 1N4, Canada Ryerson Polytech Inst, Dept Elect & Comp Engn, Toronto, ON M6K 2V4, CanadaRyerson Polytech Inst Toronto ON Canada M6K 2V4 ronto, ON M6K 2V4, Canada
Titolo Testata:
PATTERN RECOGNITION
fascicolo: 6, volume: 34, anno: 2001,
pagine: 1147 - 1158
SICI:
0031-3203(200106)34:6<1147:FIITTP>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
SIGNALS; DISTRIBUTIONS; RECOGNITION;
Keywords:
Hough-Radon transform; time-frequency distributions; instantaneous frequency; chirps; feature identification;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
23
Recensione:
Indirizzi per estratti:
Indirizzo: Rangayyan, RM Univ Calgary, Dept Elect & Comp Engn, 2500 Univ Dr,NW, Calgary, AB T2N 1N4, Canada Univ Calgary 2500 Univ Dr,NW Calgary AB Canada T2N 1N4 anada
Citazione:
R.M. Rangayyan e S. Krishnan, "Feature identification in the time-frequency plane by using the Hough-Radon transform", PATT RECOG, 34(6), 2001, pp. 1147-1158

Abstract

We propose a novel approach to detect frequency-modulated (FM) components such as chirp, sinusoidal FM, and hyperbolic FM components in multicomponent, nonstationary signals by application of pattern recognition techniques in the time-frequency (TF) plane. The approach, based upon the use of a combined Hough and Radon transform (HRT) can be used to detect FM components with varying energy and duration. The HRT method uses an array of accumulators, and the quantization of the array bins makes the method flexible and computationally attractive. Results with synthetic signals and a real-world signal (knee-joint vibration signal) indicate the potential of the method in identifying the components in noisy environments. The HRT method could be extended to detect components generated by any FM law provided they can be modeled by parametric equations. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd, All rights reserved.

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Documento generato il 04/04/20 alle ore 07:48:50