4 accepted papers
In this paper, we consider a network of sensors in which a fusion center applies a clustering method over the sensor measurements. In order to limit their energy consumption, the sensors transmit their measurements in a compressed form. This paper proposes a novel clustering algorithm that applies d…
Random distortion testing (RDT) addresses the problem of testing whether or not a random signal, Ξ, deviates by more than a specified tolerance, τ, from a fixed value, ξ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> [1]. The test is nonparamet…
Signal processing on graphs is a recent research domain that aims at generalizing classical tools in signal processing, in order to analyze signals evolving on complex domains. Such domains are represented by graphs, for which one can compute a particular matrix, called the normalized Laplacian. It…
Random distortion testing (RDT) introduced in [1] is aimed at detecting any significantly big distortion of a signal with respect to a model of this signal, in presence of noise and without prior knowlegde on the distortion distribution. The RDT formulation makes it possible to state the standard ch…