An RKHS approach to robust L/sup 2/ estimation and signal detection
Richard James Barton, H. Vincent Poor · IEEE Transactions on Information Theory · 1990
The application of RKHS (reproducing kernel Hilbert space) theory to the problems of robust signal detection and estimation is investigated. It is shown that this approach provides a general and unified framework in which to analyze the problems of L/sup 2/ estimation, matched filtering, and quadratic detection in the presence of uncertainties regarding the second-order structure of the random processes involved.>