RKHS approach to detection and estimation problems--I: Deterministic signals in Gaussian noise. Abstract: First it is shown how the Karhunen-Loève approach ...
It is shown how the Karhunen-Loeve approach to the detection of a deterministic signal can be given a coordinate-free and geometric interpretation in a ...
First it is shown how the Karhunen-Loève approach to the detection of a deterministic signal can be given a coordinate-free and geometric interpretation in ...
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, ...
We introduce the reproducing-kernel Hilbert space (RKHS) associated with the characteristic functional of a random process and use it to develop a general ...
Jan 17, 2013 · T. Kailath, "An RKHS approach to detection and estimation problems, Pt. I: Deterministic signals in Gaussian noise," IEEE Trans. Information Theory, 17(5):530- ...
RKHS approach to detection and estimation problems--I: Deterministic signals in Gaussian noise. Kailath, T. IEEE Transactions on Information Theory 17(5): ...
Jan 17, 2013 · T. Kailath, “An RKHS Approach to Detection and Estimation Problems Pt. I: Deterministic Signals in Gaussian Noise,” IEEE Trans. Information ...
Kailath, "An RKHS approach to detection and estimation problems - Part I: deter-. - ministic signals in Gaussian noise," IEEE Transactions on Information Theory ...
It is shown that this approach provides a general and unified framework in which to analyze the problems of $L\sp2$ estimation, matched filtering, and quadratic ...
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