Paper-Conference

Blind phase-offset estimation in sparse partly calibrated arrays

Spatial frequency estimation from a superposition of impinging waveforms in the presence of noise is important in many applications. While subspace-based methods offer …

Gridless parameter estimation in partly calibrated rectangular arrays

Spatial frequency estimation from a mixture of noisy sinusoids finds applications in various fields. The widely used subspace-based methods provide super-resolution parameter …

Joint sparse estimation with cardinality constraint via mixed-integer semidefinite programming

The multiple measurement vectors (MMV) problem refers to the joint estimation of multiple signal realizations where the signal samples share a common sparse support over a known …

Direction-of-arrival estimation for correlated sources and low sample size

In this paper, we study the problem of recovering the direction-of-arrival in difficult scenarios of highly correlated source signals and only few available snapshots. Recently, …

A parallel algorithm for phase retrieval with dictionary learning

We propose a new formulation for the joint phase retrieval and dictionary learning problem with a reduced number of regularization parameters to be tuned. A parallel algorithm …

GPU-accelerated parallel optimization for sparse regularization

We prove the concept that the block successive convex approximation algorithm can be configured in a flexible manner to adjust for implementations on modern parallel hardware …

A block coordinate descent algorithm for sparse Gaussian graphical model inference with laplacian constraints

We consider the problem of inferring sparse Gaussian graphical models with Laplacian constraints, which can also be viewed as learning a graph Laplacian such that the observed …

A parallel optimization approach on the infinity norm minimization problem