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An approach to RKHS inner products evaluation. Application to signal detection problem

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3 Author(s)
Oya, A. ; Dept. of Stat. & Operations Res., Univ. of Jaen, Spain ; Ruiz-Molina, J.C. ; Navarro-Moreno, J.

The aim of this paper is to propose a new methodology based on Hilbert spaces with reproducing kernels (RKHS) obtained from the Rayleigh-Ritz method that allows us to evaluate a RKHS inner product approximately with the desired accuracy and obtain approximate series representations for second-order stochastic processes. Furthermore, we apply the introduced technique in the signal detection problem providing computationally feasible suboptimum detectors.

Published in:

Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on

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