Tight Frames  Non convex Regularizers and Quantized Neural Networks for Solving Linear Inverse Problems

dc.contributor.guide	Seelamantula, Chandra Sekhar
dc.coverage.spatial
dc.creator.researcher	Nareddy, Kartheek Kumar Reddy
dc.date.accessioned	2025-12-12T06:49:56Z
dc.date.available	2025-12-12T06:49:56Z
dc.date.awarded	2025
dc.date.completed	2024
dc.date.registered	2018
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/680284
dc.language	English
dc.publisher.institution	Electrical Engineering
dc.publisher.place	Bangalore
dc.publisher.university	Indian Institute of Science Bangalore
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Tight Frames Non convex Regularizers and Quantized Neural Networks for Solving Linear Inverse Problems
dc.title.alternative
dc.type.degree	Ph.D.