3 accepted papers
Block-sparse signal recovery has drawn increasing attention in many areas of signal processing, where the goal is to recover a high-dimensional signal whose non-zero coefficients only arise in a few blocks from compressive measurements. However, most off-the-shelf data-driven reconstruction networks…
The spectral method is an important approach for signal estimation that is often used as an initialization to iterative methods as well as a stand-alone estimator, where the signal is estimated by the top eigenvector of certain carefully-constructed data matrix. A recent line of work has characteriz…
In many signal processing tasks, one seeks to recover an rcolumn matrix object X ϵ ℂ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n×r</sup> from a set of nonnegative quadratic measurements up to orthonormal transforms. Example applications include co…