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dc.contributor.authorPedzisz, M.
dc.contributor.authorMansour, Ali
dc.contributor.editorPuntonet
dc.contributor.editorPrieto
dc.date.accessioned2017-01-30T12:39:33Z
dc.date.available2017-01-30T12:39:33Z
dc.date.created2010-03-17T20:03:16Z
dc.date.issued2004
dc.identifier.citationPedzisz, Maciej and Mansour, Ali. 2004. HOS Based Distinctive Features for Preliminary Signal Classification, in Puntonet and Prieto (ed), Independent Component Analysis and Blind Source Separation, Sep 1 2004, pp. 1158-1164. Granada, Spain: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/23842
dc.identifier.doi10.1007/b100528
dc.publisherSpringer
dc.titleHOS Based Distinctive Features for Preliminary Signal Classification
dc.typeConference Paper
dcterms.source.startPage1158
dcterms.source.endPage1164
dcterms.source.issn0302-9743
dcterms.source.titleLecture Notes in Computer Science 3195
dcterms.source.seriesLecture Notes in Computer Science 3195
dcterms.source.conferenceIndependent Component Analysis and Blind source Separation
dcterms.source.conference-start-dateSep 1 2004
dcterms.source.conferencelocationGranada, Spain
dcterms.source.placeGermany
curtin.note

The original publication is available at : www.springerlink.com

curtin.accessStatusFulltext not available
curtin.facultyDepartment of Electrical and Computer Engineering
curtin.facultySchool of Engineering
curtin.facultyFaculty of Science and Engineering


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