Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some
basis) using only a small number of random measurements. Existing results in compressed …

Determining the spatial position of a speaker finds a growing interest in video conference
scenarios where automated camera steering and tracking are required. Speaker localization …

Compressive sensing (CS) based estimation technique utilizes a sparsity promoting
constraint and solves the direction-of-arrival (DOA) estimation problem efficiently with high …

A direction-of-arrival (DOA) estimation scheme that is immune to phase ambiguity is
proposed for directional uniform circular array in the context of software defined radio based …

For a very high frequency radar, multiple reflection paths, ie, multipaths, of target echoes
may cause severe errors in elevation estimation of low-angle targets, especially in the case …

Direction of arrival (DOA) estimation is the basis for underwater target localization and
tracking using towed line array sonar devices. A method of DOA estimation for underwater …

We propose a technique of multisensor signal reconstruction based on the assumption, that
source signals are spatially sparse, as well as have sparse representation in a chosen …

This work experiments and investigates the problem of acoustic sources identification from a
limited number of measurements delivered by a microphone array as a Basis Pursuit …

Direction-of-arrival (DOA) estimation refers to the localization of sound sources on an
angular grid from noisy measurements of the associated wavefield with an array of sensors …

In multi-user multiple-input multiple-output (MIMO) systems, a base station requires downlink
channel state information for each user to suppress interferences. In time-varying …