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Complex-valued support vector classifiers
- Source :
-
Digital Signal Processing . May2010, Vol. 20 Issue 3, p944-955. 12p. - Publication Year :
- 2010
-
Abstract
- Abstract: In this paper, we present a family of complex-valued support vector classifiers (CSVCs) based on the definition of the complex sign inspired by the modulation in digital communications and the complex-valued kernel functions. We also propose a theorem to construct the complex-valued Mercer kernels and the corresponding kernel function groups. CSVC algorithms include binary (2-state) CSVC (BCSVC), quadrature (4-state) CSVC (QCSVC) and some multi-state CSVCs. In this paper, we focus on QCSVC. For a quadrature complex-valued classification problem, QCSVC is identical to the 4-quadrature amplitude modulation demodulation methods in digital communications. Finally, the simulated experiments confirm the validity and the efficiency of CSVCs. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 10512004
- Volume :
- 20
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Digital Signal Processing
- Publication Type :
- Periodical
- Accession number :
- 48775814
- Full Text :
- https://doi.org/10.1016/j.dsp.2009.09.005