Optimal decision feedback equalizer for M-PAM signals using a support vector machine solution (2000) [1 citations — 1 self]
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by S. Chen, A. K. Samingan, L. Hanzo
Electronics Letters
http://www.bib.ecs.soton.ac.uk/data/3759/postscript/ieeecoml.ps
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Abstract:
We propose a method of designing the linear-combiner decision feedback equalizer (DFE) for M-PAM signals using a support vector machine (SVM) technique. This SVM design achieves asymptotically the minimum symbol error rate (MSER) solution and can be computed eciently.
Citations
| 4514 | Statistical Learning Theory – Vapnik - 1998 |
| 77 | Mathematical programming: theory and algorithms – Minoux - 1986 |
| 17 | The minimum-SER linear-combiner decision feedbackequalizer – Chen, Mulgrew - 1999 |
| 15 | Decision feedback equalizer design using support vector machines – Chen, Gunn, et al. - 2000 |
