Hyperbolic secant robust sparse adaptive filters

dc.contributor.advisor	George, Nithin V.
dc.contributor.author	Kumar, Sonu
dc.date.accessioned	2021-10-27T14:12:41Z
dc.date.available	2021-10-27T14:12:41Z
dc.date.issued	2020
dc.identifier.citation	Kumar, Sonu (2020). Hyperbolic secant robust sparse adaptive filters. Gandhinagar: Indian Institute of Technology Gandhinagar, 34p. (Acc. No.: T00849).
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/7140
dc.description.statementofresponsibility	by Sonu Kumar
dc.format.extent	vii, 34p.: ill.; hbk.; 30cm.
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	18250031
dc.subject	Maximum Versoria criterion -- MVC
dc.subject	GMCC
dc.subject	Computational Complexity
dc.subject	Adaptive Room Equalizer
dc.subject	Maximum Correntropy Criterion(MCC)
dc.title	Hyperbolic secant robust sparse adaptive filters
dc.type	Thesis
dc.contributor.department	Electrical Engineering
dc.description.degree	M.Tech