Abstract | ||
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A new support vector machine (SVM) algorithm for coherent robust demodulation in orthogonal frequency-division multiplexing (OFDM) systems is proposed. We present a complex regression SVM formulation specifically adapted to a pilots-based OFDM signal. This novel proposal provides a simpler scheme than an SVM classification method. The feasibility of our approach is substantiated by computer simula... |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/LSP.2006.871862 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Support vector machines,Robustness,Channel estimation,OFDM,Support vector machine classification,Demodulation,Frequency division multiplexing,Proposals,Computer simulation,Cost function | Demodulation,Frequency-division multiplexing,Robustness (computer science),Impulse noise,Artificial intelligence,Pattern recognition,Support vector machine,Algorithm,Speech recognition,WiMAX,Multiplexing,Mathematics,Orthogonal frequency-division multiplexing | Journal |
Volume | Issue | ISSN |
13 | 7 | 1070-9908 |
Citations | PageRank | References |
19 | 1.10 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. J. F.-G. Garcia | 1 | 19 | 1.10 |
J. L. Rojo-Alvarez | 2 | 34 | 2.83 |
F. Alonso-Atienza | 3 | 31 | 1.96 |
M. Martínez-Ramón | 4 | 68 | 5.93 |