A multi-dimensional model order selection criterion with improved identifiability
A multi-dimensional model order selection criterion with improved identifiability
A novel R-dimensional (R ≥ 3) model order selection (MOS) criterion is proposed for estimating the number of sources embedded in noise. By extending the classical r-mode matrix unfolding of a Rth-order measurement tensor to multi-mode matrix unfolding, (2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R−1</sup> − 1) unfolded matrices are obtained. To maximize …