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On effective computation of the logarithm of the Likelihood Ratio Function for Gaussian signals

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2003) 2658 427-435
DOI: 10.1007/3-540-44862-4_45
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Abstract

In this paper we consider a new way to calculate the logarithm of the Likelihood Ratio Function for Gaussian signals. This approach is based on the standard Kalman filter. Its efficiency is substantiated theoretically, and numerical examples show how such a method works in practice. © Springer-Verlag Berlin Heidelberg 2003.

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APA

Kulikova, M. V. (2003). On effective computation of the logarithm of the Likelihood Ratio Function for Gaussian signals. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2658, 427–435. https://doi.org/10.1007/3-540-44862-4_45

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