Signal classification with an SVM-FFT approach for feature extraction in cognitive radio

SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference Proceedings

Volumn , Issue , 2009, Pages 286-289

  Ramón, Manel Martínez ^a   Atwood, Thomas ^b   Barbin, Silvio ^c,d   Christodoulou, Christos G ^b  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b University of New Mexico   (United States)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

^d Center for Information Technology Renato Archer   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE RADIO; GENERALIZATION PROPERTIES; LEAST SQUARE; MACHINE-LEARNING; MODULATION CLASSIFICATION; NON-GAUSSIAN NOISE; NUMBER OF DATUM; ROBUST COST FUNCTION; SIGNAL CLASSIFICATION; SPECTRUM ESTIMATION; SPECTRUM USAGE; TECHNIQUES USED;

ESTIMATION; FAST FOURIER TRANSFORMS; MICROWAVES; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 77951759834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMOC.2009.5427579     Document Type: Conference Paper

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