Telecommunication systems and human-machine interfaces start employing multiple
microphones and loudspeakers in order to make conversations and interactions more …

We present a novel and computationally simple solution to the problem of detecting the
number of signals, which is applicable to both white and colored noise, and to a very small …

We present a novel and computationally simple solution to the problem of detecting the
number of signals in the case of uniform linear arrays (ULA) and uniform rectangular arrays …

Estimation of direction of arrival (DOA) from data collected by sensor arrays is of
fundamental importance to a variety of applications such as radar, sonar, wireless …

Estimating the number of sources im**ing on an array of sensors is a well-known and well-
investigated problem. A common approach for solving this problem is to use an information …

In this paper, we consider performance analysis of the decentralized power method for the
eigendecomposition of the sample covariance matrix based on the averaging consensus …

We investigate the problem of enumerating source signals im**ing on an array of sensors
in an information theoretic framework. The conventional Bayesian information criterion (BIC) …

Blind separation of independent speech sources from their convolutive mixtures in a
reverberant acoustic environment is a difficult problem and the state-of-the-art blind source …

Inspired by the computational simplicity and numerical stability of QR decomposition, a
nonparametric method for estimating the number of signals without eigendecomposition …

This paper presents a novel approach to detect multiple signals embedded in noisy
observations from a sensor array. We formulate the detection problem as a multiple …