We build upon recent advances on the distributional aspect of Stein’s method to propose a novel and flexible technique for computing Stein operators for random variables that can be written as products of independent random variables. We show that our results are valid for a wide class of distributions including normal, beta, variance-gamma, generalized gamma and many more. Our operators are kt...

An analysis is presented of the results from recent trials to gather 2.4 GHz bistatic sea clutter, and in particular, of fitting the compound K distribution model both to bistatic clutter data and to simultaneously-acquired monostatic clutter data. It is found that the K distribution provides a good fit to the bistatic data, but that the bistatic clutter is significantly less ‘spiky’ than that ...

a = nongray stretching factor for fill-spectrum k-distribution method I = radiative intensity,W∕m sr Ib = blackbody intensity/Planck function, W∕m sr k = reordered absorption coefficients in k distribution, cm−1 L = length of one-dimensional medium, cm M = total number of groups of nth gas component N = total number of species/scales P = total pressure, bar PL = pressure path length, P × L, bar...

In the context of radar detection, the clutter covariance matrix estimation is an important point to design optimal detectors. While the Gaussian clutter case has been extensively studied, the new advances in radar technology show that non-Gaussian clutter models have to be considered. Among these models, the spherically invariant random vector modelling is particularly interesting since it inc...

Wireless sensor networks consist of sensor nodes with limited computational and communication capabilities. In this paper, the whole network of sensor nodes is divided into clusters based on their physical locations. In addition, efficient ways of key distribution among the nodes within the cluster and among controllers of each cluster are discussed. Also, inter and intra cluster communications...