Name
Title | ||
|---|---|---|
Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines |
Abstract | ||
|---|---|---|
The conventional decision feedback equalizer (DFE) sepa- rates the different signal classes using a single hyperplan e. It is well known that the popular minimum mean square er- ror (MMSE) design is generally not the optimal minimum bit error rate (MBER) solution. We propose a method of de- signing the separating hyperplane for the conventional DFE based on support vector machines (SVMs). The SVM de- sign achieves asymptotically the MBER solution and can be computed efficiently. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICASSP.2000.861043 | International Conference on Acoustics, Speech, and Signal Processing |
Keywords | Field | DocType |
support vector machine,noniterative blind source separation,constant modulus source,beamforming vector,decision feedback equalizer,joint diagonalization problem,algebraic constant modulus algorithm,support vector machines,signal generators,computer science,quadratic programming,white noise,bit error rate,minimum mean square error | Equalizer,Mathematical optimization,Learning automata,Computer science,Support vector machine,Minimum mean square error,Hyperplane,Margin classifier,Bit error rate | Conference |
ISSN | ISBN | Citations |
1520-6149 | 0-7803-6293-4 | 3 |
PageRank | References | Authors |
0.53 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Chen | 1 | 3 | 0.53 |
| C. J. Harris | 2 | 132 | 7.59 |