Konstanty S. Bialkowski — accepted AI-conference papers

2019

Computing the Largest Eigenvalue Distribution for Non-central Wishart Matrices

Scott R. Jones, Douglas Cochran, Stephen D. Howard, I. Vaughan L. Clarkson, Konstanty S. Bialkowski

ICASSP 2019accepted

Eigenvalues of the Gram matrix formed from received data frequently appear in sufficient detection statistics for multi-channel detection with Generalized Likelihood Ratio (GLRT) and Bayesian tests. In a frequently presented model for passive radar, in which the null hypothesis is that the channels…

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2017

Computing the largest eigenvalue distribution for complex Wishart matrices

Scott R. Jones, Stephen D. Howard, I. Vaughan L. Clarkson, Konstanty S. Bialkowski, Douglas Cochran

ICASSP 2017accepted

In multi-channel detection, sufficient statistics for Generalized Likelihood Ratio and Bayesian tests are often functions of the eigenvalues of the Gram matrix formed from data vectors collected at the sensors. When the null hypothesis is that the channels contain only independent complex white Gaus…

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