In this article, a general introduction to the area of sensor array and multichannel signal
processing is provided, including associated activities of the IEEE Signal Processing Society …

Direction of arrival (DOA) estimation from the perspective of sparse signal representation
has attracted tremendous attention in past years, where the underlying spatial sparsity …

A new array geometry, which is capable of significantly increasing the degrees of freedom of
linear arrays, is proposed. This structure is obtained by systematically nesting two or more …

Abstract The Cramér–Rao bound (CRB) offers a lower bound on the variances of unbiased
estimates of parameters, eg, directions of arrival (DOA) in array processing. While there exist …

In real-world applications such as those for speech and audio, there are signals that are
nonstationary but can be modeled as being stationary within local time frames. Such signals …

Passive source localization is one of the issues in array signal processing fields. In some
practical applications, the signals received by an array are the mixture of near-field and far …

A novel sparse array (SA) structure is proposed based on the maximum inter-element
spacing (IES) constraint (MISC) criterion. Compared with the traditional MISC array, the …

In this paper we study two fourth-order cumulant-based techniques for the estimation of the
mixing matrix in underdetermined independent component analysis. The first method is …

We present an algorithm for decomposing a symmetric tensor, of dimension n and order d,
as a sum of rank-1 symmetric tensors, extending the algorithm of Sylvester devised in 1886 …

In this paper, we study simultaneous matrix diagonalization-based techniques for the
estimation of the mixing matrix in underdetermined independent component analysis (ICA) …