Orthogonal frequency division multiplexing (OFDM) has been widely adopted in modern
wireless communication systems due to its robustness against the frequency selectivity of …

In this article, MCMC (Markov chain Monte Carlo methods) and SMC (sequential Monte
Carlo methods) are introduced to sample and/or maximize high-dimensional probability …

In this self-contained survey/review paper, we systematically investigate the roots of
Bayesian filtering as well as its rich leaves in the literature. Stochastic filtering theory is …

Precise radial velocity measurements have led to the discovery of∼ 100 extrasolar
planetary systems. We investigate the uncertainty in the orbital solutions that have been …

In this paper, we propose low-complexity algorithms based on Monte Carlo sampling for
signal detection and channel estimation on the uplink in large-scale multiuser multiple-input …

In this paper, we develop novel Bayesian detection methods that are applicable to both
synchronous code-division multiple-access and multiple-input multiple-output …

In this tutorial, we first review the family of conventional multiple-antenna techniques, and
then we provide a general overview of the recent concept of the powerful Multiple-Input …

In recent years, a wealth of research has emerged addressing various aspects of mobile
communications signal processing. New applications and services are continually arising …

In this paper, we consider soft decision directed channel estimation for turbo equalization.
To take advantage of soft information provided by the decoder, a minimum mean square …

A deeper coupling of information and power would make active distribution networks (ADNs)
evolve into typical cyber-physical systems (CPSs). The unreliability of cyber systems can …