Malicious data attacks to the real-time electricity market are studied. In particular, an adversary launches an attack by manipulating data from a set of meters with the goal of i...
In a number of direction of arrival (DOA) estimation applications there exists prior knowledge about the sources whose bearings are to be determined. We study the case when this p...
Petter Wirfalt, Magnus Jansson, Guillaume Bouleux,...
In this paper, we study speech enhancement in eigen-domain. In our previous work on audible noise reduction, we use masking properties of the human auditory system to define the ...
Artificial Intelligence has contributed (formal) design models and software support tools to application areas such as architecture, engineering and software design. This paper exp...
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...