We consider the problem of recovering block sparse signals with unknown block partition
and propose a better alternative to the extended block sparse Bayesian learning (EBSBL) …

In general, the azimuth estimation in array signal processing is derived under the
assumption of uniform white noise, whose covariance matrix is a scaled identity matrix …

This letter considers the estimation of block sparse signal with unknown partition. We take a
variational approach to separate the estimates of support partition and signal amplitudes …

To achieve the high‐resolution inverse synthetic aperture radar (ISAR) imaging of moving
targets, the range Doppler method and compressed sensing technique can be used …

This paper proposes a novel optimization program for solving the Robust Principle
Component Analysis (RPCA) problem, which decomposes a data matrix into a conventional …

In order to improve the image quality of (Multiple-Input Multiple-Output, MIMO) sparse linear
array, this paper deeply explored the block sparse characteristics of imaging targets. By …