Slope transforms: theory and application to nonlinear signal processing

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:43:29Z
dc.date.available	2014-03-01T01:43:29Z
dc.date.issued	1995	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24129
dc.subject	Analysis and Design	en
dc.subject	Bandpass Filter	en
dc.subject	Impulse Response	en
dc.subject	Large Classes	en
dc.subject	Linear System	en
dc.subject	Nonlinear Signal Processing	en
dc.subject	Nonlinear System	en
dc.subject	Response Function	en
dc.subject	Time Dilation	en
dc.subject	Fourier Transform	en
dc.subject	Linear Time Invariant	en
dc.title	Slope transforms: theory and application to nonlinear signal processing	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/78.376839	en
heal.identifier.secondary	http://dx.doi.org/10.1109/78.376839	en
heal.publicationDate	1995	en
heal.abstract	Fourier transforms are among the most useful linear signal transformations for quantifying the frequency content of signals and for analyzing their processing by linear time-invariant systems. Some nonlinear signal transforms are developed that can provide information about the slope content of signals and are useful analytic tools for large classes of nonlinear systems. Many of their theoretical properties are examined,	en
heal.journalName	IEEE Transactions on Signal Processing	en
dc.identifier.doi	10.1109/78.376839	en