Symbolic signal representation using nonlinear filtering

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:47:50Z
dc.date.available	2014-03-01T02:47:50Z
dc.date.issued	1988	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33380
dc.subject	Nonlinear Filter	en
dc.subject	Object Recognition	en
dc.subject	Signal Representation	en
dc.subject	Size Structure	en
dc.subject	Spectrum	en
dc.subject	Local Search	en
dc.title	Symbolic signal representation using nonlinear filtering	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.1988.196746	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.1988.196746	en
heal.publicationDate	1988	en
heal.abstract	A symbolic modeling method is developed for images and imagelike signals based on their shape-size structure. A signal is represented as a minimal nonlinear superposition of simpler parts, namely, the symbols, which are translated and scaled shape patterns drawn from a finite collection. To obtain the model parameters, multiscale morphological openings and the related pattern spectrum are used to help	en
heal.journalName	International Conference on Acoustics, Speech, and Signal Processing	en
dc.identifier.doi	10.1109/ICASSP.1988.196746	en