Time-frequency and time-frequency-rate representations using the cross quadratic spectrum

Traditionally used time-frequency distributions such as the STFT and the WVD are not suitable for FM signal characterization at low SNRs. A new method is proposed using the cross quadratic spectrum (XQS) which provides accurate temporal characterization for both signal's instantaneous frequency...

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Main Author:	Saman S Abeysekera
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/99082 http://hdl.handle.net/10220/17621
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-990822020-03-07T13:24:49Z Time-frequency and time-frequency-rate representations using the cross quadratic spectrum Saman S Abeysekera School of Electrical and Electronic Engineering IEEE Region 10 Conference (TENCON) - Spring Conference (2013 : Sydney, Australia) DRNTU::Engineering::Electrical and electronic engineering Traditionally used time-frequency distributions such as the STFT and the WVD are not suitable for FM signal characterization at low SNRs. A new method is proposed using the cross quadratic spectrum (XQS) which provides accurate temporal characterization for both signal's instantaneous frequency and the instantaneous-frequency-rate. Accepted version 2013-11-14T01:15:32Z 2019-12-06T20:03:02Z 2013-11-14T01:15:32Z 2019-12-06T20:03:02Z 2013 2013 Conference Paper Abeysekera, S. S. (2013). Time-Frequency and Time-Frequency-Rate Representations using the Cross Quadratic Spectrum. 2013 IEEE Tencon-Spring Conference, pp.500-504. https://hdl.handle.net/10356/99082 http://hdl.handle.net/10220/17621 10.1109/TENCONSpring.2013.6584495 en © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TENCONSpring.2013.6584495]. 5 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Saman S Abeysekera Time-frequency and time-frequency-rate representations using the cross quadratic spectrum
description	Traditionally used time-frequency distributions such as the STFT and the WVD are not suitable for FM signal characterization at low SNRs. A new method is proposed using the cross quadratic spectrum (XQS) which provides accurate temporal characterization for both signal's instantaneous frequency and the instantaneous-frequency-rate.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Saman S Abeysekera
format	Conference or Workshop Item
author	Saman S Abeysekera
author_sort	Saman S Abeysekera
title	Time-frequency and time-frequency-rate representations using the cross quadratic spectrum
title_short	Time-frequency and time-frequency-rate representations using the cross quadratic spectrum
title_full	Time-frequency and time-frequency-rate representations using the cross quadratic spectrum
title_fullStr	Time-frequency and time-frequency-rate representations using the cross quadratic spectrum
title_full_unstemmed	Time-frequency and time-frequency-rate representations using the cross quadratic spectrum
title_sort	time-frequency and time-frequency-rate representations using the cross quadratic spectrum
publishDate	2013
url	https://hdl.handle.net/10356/99082 http://hdl.handle.net/10220/17621
_version_	1681040902881017856

Time-frequency and time-frequency-rate representations using the cross quadratic spectrum

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