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Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines

Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines
Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines
The conventional decision feedback equalizer (DFE) separates the different signal classes using a single hyperplane. It is well known that the popular minimum mean square error (MMSE) design is generally not the optimal minimum bit error rate (MBER) solution. We propose a method of designing the separating hyperplane for the conventional DFE based on support vector machines (SVMs). The SVM design achieves asymptotically the MBER solution and can be computed efficiently.
2701-2704
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Harris, C. J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Harris, C. J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Chen, S. and Harris, C. J. (2000) Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines. Proceedings of 2000 IEEE International Conference on Acoustic, Speech, and Signal Processing. pp. 2701-2704 .

Record type: Conference or Workshop Item (Other)

Abstract

The conventional decision feedback equalizer (DFE) separates the different signal classes using a single hyperplane. It is well known that the popular minimum mean square error (MMSE) design is generally not the optimal minimum bit error rate (MBER) solution. We propose a method of designing the separating hyperplane for the conventional DFE based on support vector machines (SVMs). The SVM design achieves asymptotically the MBER solution and can be computed efficiently.

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Published date: 2000
Additional Information: Presented at: IEEE International Conference on Acoustic, Speech, and Signal Processing (Istanbul, Turkey), June 5-9, 2000. Support of U.K. Royal Society under a conference grant (RSS/SG/22610/001/C2) is gratefully acknowledged. Organisation: IEEE Signal Processing Society
Venue - Dates: Proceedings of 2000 IEEE International Conference on Acoustic, Speech, and Signal Processing, 2000-01-01
Organisations: Southampton Wireless Group

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Local EPrints ID: 251076
URI: http://eprints.soton.ac.uk/id/eprint/251076
PURE UUID: 67b3d61f-386d-4502-bf21-45487fb251e2

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Date deposited: 12 Feb 2002
Last modified: 11 Nov 2019 21:14

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Contributors

Author: S. Chen
Author: C. J. Harris

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