Sparse Bayesian Learning for DOA Estimation with Mutual Coupling

Sparse Bayesian learning (SBL) has given renewed interest to the problem of direction-of-arrival (DOA) estimation.It is generally assumed that the measurement matrix in SBL is precisely known.Unfortunately, Lip Liner this assumption may be invalid in practice due to the imperfect manifold caused by unknown or misspecified mutual coupling.This paper

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Dynamic causal modelling of phase-amplitude interactions

Models of coupled phase oscillators are used to describe a wide variety of phenomena in neuroimaging.These models typically rest on the premise that oscillator dynamics do not evolve beyond their respective limit cycles, and hence that interactions can be described purely in terms of phase differences.Whilst mathematically convenient, the restricti

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