Nonstationary signal classification using support vector machines

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2001, Pages 305-308

  Gretton, Arthur ^a   Davy, Manuel ^a   Doucet, Arnaud ^a   Rayner, Peter J W ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FREQUENCY DOMAIN ANALYSIS; VECTORS;

SUPPORT VECTOR MACHINES;

SIGNAL PROCESSING;

EID: 0035555557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Methods of signal classification using the images produced by the wigner distribution
2. Optimizing time-frequency distributions for automatic classification
3. Robust linear programming discrimination of two linearly inseperable sets
4. The analysis of decomposition methods for support vector machines
5. Support vector networks
6. Improved optimization of time-frequency based signal classifiers
7. New support vector algorithms