A blind Direction-of-Arrivals (DOAs) estimate of narrowband signals for Acoustic Vector-
Sensor (AVS) arrays is proposed. Building upon the special structure of the signal measured …

Blind separation of sources (BSS) is to recover the source signals from the observed mixture
signals with no knowledge on the mixing channel. Recently, there has been more and more …

Blind source separation is the process of separating unknown source signals based only on
the received mixing signals when the source signal cannot be accurately known. Traditional …

An asymptotically optimal blind calibration scheme of uniform linear arrays for narrowband
Gaussian signals is proposed. Rather than taking the direct Maximum Likelihood (ML) …

A novel source enumeration method based on criterion of searching for the best-matched
preset sparse dictionary is presented in this paper, which is applicable under the condition …

Estimation of the number of sources in a linear mixture is a critical preprocessing step in the
separation and analysis of the sources for many applications. Historically, statistical …

A required step to realize blind source separation of a signal is to determine the number of
sources building up the mixture. Generally, the assumption of equal number of sources and …

We study the blind calibration problem of uniform linear arrays of acoustic vector sensors for
narrowband Gaussian signals, and propose an improved, asymptotically optimal blind …

Advanced driver assistance systems and automatic driving have drawn lots of attentions due
to user's multiapplication needs. Among different technologies, the integration of Inertial …

Blind calibration of sensors arrays (without using calibration signals) is an important, yet
challenging problem in array processing. While many methods have been proposed for" …