Sparse recovery techniques for hyperspectral imaging

dc.contributor.guide	Majumdar, Angshul
dc.coverage.spatial	Computer science and engineering
dc.creator.researcher	Aggarwal, Hemant Kumar
dc.date.accessioned	2017-04-18T05:42:45Z
dc.date.available	2017-04-18T05:42:45Z
dc.date.awarded	n.d.
dc.date.completed	2016
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Publication p.91-92 and bibliography p.93-101
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	101p.
dc.identifier.uri	http://hdl.handle.net/10603/146411
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Delhi
dc.publisher.university	Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
dc.relation	-
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Human vision
dc.subject.keyword	Hyperspectral
dc.subject.keyword	Sparse
dc.title	Sparse recovery techniques for hyperspectral imaging
dc.title.alternative	-
dc.type.degree	Ph.D.