Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines
<|reference_start|>Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines: The problem of known signal detection in Additive White Gaussian Noise is considered. In previous work, a new detection scheme was introduced by the authors, and it was demonstrated that optimum performance cannot be reached in a real implementation. In this paper we analyse Support Vector Machines (SVM) as an alternative, evaluating the results in terms of Probability of detection curves for a fixed Probability of false alarm.<|reference_end|>
@article{gomez2005sub-optimum,
    title={Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector
  Machines},
    author={Jaime Gomez, Ignacio Melgar, Juan Seijas, Diego Andina},
    journal={WSEAS Transactions on Communications, ISSN 1109-2742, issue 4, vol
  2, p426-431, October-2003},
    year={2005},
    archivePrefix={arXiv},
    eprint={cs/0505051},
    primaryClass={cs.IR cs.NE}
}