The plug-in method enables optimization of the bandwidth of the kernel density estimator in
order to estimate probability density functions (pdfs). Here, a faster procedure than that of the …

The kernel density estimation method is not so attractive when the density has its support
confined to a bounded space U of Rd. In a recent paper, we suggested a new nonparametric …

In general, performance of communication system receivers cannot be calculated
analytically. The bit error rate (BER) is thus computed using the Monte Carlo (MC) simulation …

This thesis is related to the Bit Error Rate (BER) estimation for any digital communication
system. In many designs of communication systems, the BER is a Key Performance Indicator …

This paper addresses the problem of unsupervised soft BER estimation for digital
communications systems, where no prior knowledge about transmitted information bits is …

We propose here an unsupervised Bayesian classifier based on a non-parametric
expectation-maximization algorithm. The non-parametric aspect comes from the use of the …

We have suggested in a previous publication a method to estimate the Bit Error Rate (BER)
of a digital communications system instead of using the famous Monte Carlo (MC) …

The existence of abrupt change points in mechanical equipment degradation leads to
inaccuracies in the prediction of its residual life. We propose a real-time residual life …

In a recently published paper, spherical nonparametric estimators were applied to feature-
track ensembles to determine a range of statistics for the atmospheric features considered …

We introduce a geometric approach for estimating a probability density function (pdf) given
its samples. The procedure involves obtaining an initial estimate of the pdf and then …