Sparse classification of rf transients using chirplets and learned dictionaries

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2011, Pages 1888-1892

  Moody, Daniela I ^a,b   Brumby, Steven P ^a   Myers, Kary L ^a   Pawley, Norma H ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

chirplets; learned dictionaries; RF transient classification; sparse classification; sparse representation

Indexed keywords

ADDITIONAL KNOWLEDGE; CHIRPLETS; CLASSIFICATION RESULTS; FOURIER METHODS; FUNCTION CLASS; OVER-COMPLETE; RADIO FREQUENCIES; SIGNAL CHARACTERISTIC; SPARSE CLASSIFICATION; SPARSE REPRESENTATION; STATISTICAL CLASSIFIER; TARGET SIGNALS; TEST DATA; TRANSIENT CLASSIFICATION; TRANSIENT SIGNAL;

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION;

IMAGE PROCESSING;

EID: 84861328660     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2011.6190351     Document Type: Conference Paper

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