Radio frequency (RF) transient classification using sparse representations over learned dictionaries | Zendy

Daniela I. Moody | Zendy; Steven P. Brumby | Zendy; Kary Myers | Zendy; Norma H. Pawley | Zendy

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Radio frequency (RF) transient classification using sparse representations over learned dictionaries

Author(s) -

Daniela I. Moody,

Steven P. Brumby,

Kary Myers,

Norma H. Pawley

Publication year - 2011

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - Uncategorized

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.898894

Subject(s) - computer science , discriminative model , artificial intelligence , pattern recognition (psychology) , clutter , feature extraction , radio frequency , time–frequency analysis , noise (video) , feature (linguistics) , sparse approximation , k svd , speech recognition , radar , machine learning , filter (signal processing) , image (mathematics) , computer vision , telecommunications , linguistics , philosophy

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