An improved energy demodulation algorithm using splines

Dimitriadis, D; Maragos, P

dc.contributor.author	Dimitriadis, D	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:41:41Z
dc.date.available	2014-03-01T02:41:41Z
dc.date.issued	2001	en
dc.identifier.issn	07367791	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30600
dc.subject	Continuous Time	en
dc.subject	Data Fitting	en
dc.subject	Discrete Time	en
dc.subject	Smoothing Spline	en
dc.subject.other	Amplitude modulation	en
dc.subject.other	Demodulation	en
dc.subject.other	Frequency modulation	en
dc.subject.other	Mathematical operators	en
dc.subject.other	Optimization	en
dc.subject.other	Spurious signal noise	en
dc.subject.other	Demodulation algorithms	en
dc.subject.other	Discrete time signals	en
dc.subject.other	Teager-Kaiser energy operator	en
dc.subject.other	Algorithms	en
dc.title	An improved energy demodulation algorithm using splines	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.2001.940591	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.2001.940591	en
heal.publicationDate	2001	en
heal.abstract	A new algorithm is proposed for demodulating discrete-time AM-FM signals, which first interpolates the signals with smooth splines and then uses the continuous-time energy separation algorithm (ESA) based on the Teager-Kaiser energy operator. This spline-based ESA retains the excellent time resolution of the ESAs based on discrete energy operators but performs better in the presence of noise. Further, its dependence on smooth splines allows some optimal trade-off between data fitting versus smoothing.	en
heal.journalName	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	en
dc.identifier.doi	10.1109/ICASSP.2001.940591	en
dc.identifier.volume	6	en
dc.identifier.spage	3481	en
dc.identifier.epage	3484	en