AM-FM energy detection and separation in noise using multiband energy operators

Bovik, A; Maragos, P; Quatieri, T

dc.contributor.author	Bovik, A	en
dc.contributor.author	Maragos, P	en
dc.contributor.author	Quatieri, T	en
dc.date.accessioned	2014-03-01T01:41:34Z
dc.date.available	2014-03-01T01:41:34Z
dc.date.issued	1993	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/23537
dc.subject	Bandpass Filter	en
dc.subject	Frequency Spectrum	en
dc.subject	Energy Detection	en
dc.subject	Filter Bank	en
dc.title	AM-FM energy detection and separation in noise using multiband energy operators	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/78.258071	en
heal.identifier.secondary	http://dx.doi.org/10.1109/78.258071	en
heal.publicationDate	1993	en
heal.abstract	This paper develops a multiband or wavelet approach for capturing the AM-FM components of modulated signals immersed in noise. The technique utilizes the recently-popularized nonlinear energy operator Ψ(s)=(s&dot;)2-ss¨ to isolate the AM-FM energy, and an energy separation algorithm (ESA) to extract the instantaneous amplitudes and frequencies. It is demonstrated that the performance of the energy operator/ESA approach is vastly improved	en
heal.journalName	IEEE Transactions on Signal Processing	en
dc.identifier.doi	10.1109/78.258071	en