The problem of estimating the parameters of a Rayleigh-Rice mixture density is often
encountered in image analysis (eg, remote sensing and medical image processing). In this …

The Ricean K-factor is the ratio of the power of the deterministic multipath component (MPC)
and the power of all other stochastic MPCs. The classical moment-based method has been …

In recent years, promising results have been reported with the vibrating intrinsic
reverberation chamber (VIRC) combining performance and cost-efficiency for …

The canonical polyadic decomposition (CPD) can be used to extract meaningful
components from a tensor. Most existing optimization methods for fitting the CPD use as cost …

The Bayesian online change point detection (BOCPD) algorithm provides an efficient way to
do exact inference when the parameters of an underlying model may suddenly change over …

As a very important parameter in link budget and channel modeling, the Ricean K factor in
the viaduct and cutting scenarios along the high speed railway is estimated by using a …

With the increasing development of 5G and Body Area Network based systems being
implemented in unusual environments, propagation inside metallic structures is a key aspect …

The detection of periodic components buried in noise is a general problem in various
engineering fields. The amplitudes in the frequency domain of a disturbed signal follow Rice …

In this paper, the on-body propagation performance measured totally wirelessly with 4-mm-
thick and 50× 50 mm size textile monopole antennas is presented. At a relatively low …

The estimation of image noise level is a critical task for image denoising or super-resolution
reconstruction. Mathematical methods like patch-based or model-based methods, suffer …