The two-dimensional (2D) active target localization is generally hindered by the high
temporal and spatial sidelobe levels in snapshot-deficient scenarios, where the adaptive …

The multichannel active noise control (MCANC) approach is widely regarded as an effective
solution to achieve a large noise cancellation zone in a complicated acoustic environment …

Signal processing via subspace-based methods require subspace estimates taken from
either the eigenvectors of the sample covariance matrix or the principal singular vectors of …

The largest eigenvalue of a single or a double Wishart matrix, both known as Roy's largest
root, plays an important role in a variety of applications. Recently, via a small noise …

Abraham's and Owsley's dominant mode rejection (DMR) beamformer modifies Capon's
minimum variance distortionless response beamformer to force suitable constraints in the …

Adaptive beamformers use a sensor covariance matrix estimated from data snapshots to
mitigate directional interference and attenuate uncorrelated noise. Dominant mode rejection …

The eigenvalue (EV) spectra of the theoretical noise covariance matrix (CM) and observed
sample CM provide information about the environment, source, and noise generation. This …

Subspace-based algorithms for array signal processing typically begin with an eigenvalue
decomposition of a sample covariance matrix. The eigenvectors are partitioned into two sets …

Adaptive beamformers attempt to eliminate loud interferers in order to facilitate the detection
of quiet sources. The Dominant Mode Rejection (DMR) beamformer does this by placing …

The minimum Bhattacharyya distance estimator (MBDE) for acoustic source bearing
estimation was recently proposed as a promising tool to tackle the model mismatch …