Statistical signal processing applications usually require the estimation of some parameters
of interest given a set of observed data. These estimates are typically obtained either by …

Precise information of wind speed probability distribution is truly significant for many wind
energy applications. The objective of this study is to evaluate the suitability of different …

Novel single-integral representations for the multivariate probability density functions and
cumulative distribution functions of Gaussian class distributions (Rayleigh, Rician, Weibull …

In 5G networks, the coverage area of the base stations is smaller and the communications
are at higher frequencies. The small cell concept has risen with high mobility and small …

Blind signal classification, a major task of intelligent receivers, has important civilian and
military applications. This problem becomes more challenging in multi-antenna scenarios …

It is important to transmit data reliably, and efficiently in vehicular networks. Existing works
usually study routing strategies, and cooperative scheduling to improve the efficiency of …

Efficient utilization of limited bandwidth with high-data-rate transmission while serving a
large number of users is a prime requirement for present and future wireless communication …

Modeling of on-body propagation channels is of paramount importance to those wishing to
evaluate radio channel performance for wearable devices in body area networks (BANs) …

This letter reports the statistical characterization and modeling of the indoor radio channel
for a mobile wireless personal area network operating at 868 MHz. Line of sight (LOS) and …

Frequency nonstationarity is an important statistical property of beyond fifth generation
wireless communication channels due to extremely large bandwidths used in millimeter …