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eess.SP2025
Dual Approach to Inverse Covariance Intersection Fusion
Jiří Ajgl, Ondřej Straka
Linear fusion of estimates under the condition of no knowledge of correlation of estimation errors has reached maturity. On the other hand, various cases of partial knowledge are s…
eess.SP2025
Aspects of density approximation by tensor trains
Jiří Ajgl, Ondřej Straka
Point-mass filters solve Bayesian recursive relations by approximating probability density functions of a system state over grids of discrete points. The approach suffers from the…