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Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters
The Cramér-Rao lower bound (CRLB) is a fundamental result in statistical signal
processing, however, the CRLB for quaternion parameters is not yet established. To this …
processing, however, the CRLB for quaternion parameters is not yet established. To this …
Barankin-type bound for constrained parameter estimation
E Nitzan, T Routtenberg… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In constrained parameter estimation, the classical constrained Cram r–Rao bound (CCRB)
and the recent Lehmann-unbiased CCRB (LU-CCRB) are lower bounds on the performance …
and the recent Lehmann-unbiased CCRB (LU-CCRB) are lower bounds on the performance …
Co-PARAFAC: A Novel Cost-Efficient Scalable Tensor Decomposition Algorithm
This paper proposes a novel tensor decomposition method, cooperative parallel factor (Co-
PARAFAC), that is devised to achieve higher accuracy with lower computational complexity …
PARAFAC), that is devised to achieve higher accuracy with lower computational complexity …
Identifiabilité de modèles tensoriels couplés pour l'estimation de lois de probabilité discrète
P Flores, K Usevich, D Brie - … Francophone de Traitement du Signal et …, 2023 - hal.science
Dans cet article, nous proposons une approche pour fournir des bornes d'identifiabilité
générique de modèles tensoriels couplés pour l'estimation de loi de probabilité discrète …
générique de modèles tensoriels couplés pour l'estimation de loi de probabilité discrète …
Optimal Performance Estimation for Coupled Multichannel Multidimensional Harmonic Retrieval
This work introduces the Multichannel Multidimensional Harmonic model (MMH), which
serves as a multichannel extension of the well-known Multidimensional Harmonic (MH) …
serves as a multichannel extension of the well-known Multidimensional Harmonic (MH) …