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. 
Jaime Gomez, Ignacio Melgar, Juan Seijas, Diego Andina