Fifty years of noise modeling and mitigation in power-line communications

T Bai, H Zhang, J Wang, C Xu… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Building on the ubiquity of electric power infrastructure, power line communications (PLC)
has been successfully used in diverse application scenarios, including the smart grid and in …

Stable distributions as noise models for molecular communication

N Farsad, W Guo, CB Chae… - 2015 IEEE Global …, 2015 - ieeexplore.ieee.org
In this work, we consider diffusion-based molecular communication timing channels. Three
different timing channels are presented based on three different modulation techniques, ie, i) …

Capacity Bounds for Additive Symmetric -Stable Noise Channels

ML De Freitas, M Egan, L Clavier… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Impulsive noise features in many modern communication systems-ranging from wireless to
molecular-and is often modeled by the α-stable distribution. At present, the capacity of α …

Tracking dynamic systems in α-stable environments

SP Talebi, S Werner, S Li… - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
In order to accommodate for modern adaptive filtering applications, the classic adaptive
filtering paradigm is considered from a more general perspective. The new formulation …

Communication system design and analysis for asynchronous molecular timing channels

N Farsad, Y Murin, W Guo, CB Chae… - … Biological, and Multi …, 2018 - ieeexplore.ieee.org
Two new asynchronous modulation techniques for molecular timing channels are proposed.
One is based on modulating information on the time between two consecutive releases of …

Minimum error entropy algorithms with sparsity penalty constraints

Z Wu, S Peng, W Ma, B Chen, JC Principe - Entropy, 2015 - mdpi.com
Recently, sparse adaptive learning algorithms have been developed to exploit system
sparsity as well as to mitigate various noise disturbances in many applications. In particular …

Proportionate minimum error entropy algorithm for sparse system identification

Z Wu, S Peng, B Chen, H Zhao, JC Principe - Entropy, 2015 - mdpi.com
Sparse system identification has received a great deal of attention due to its broad
applicability. The proportionate normalized least mean square (PNLMS) algorithm, as a …

Hermite functional link artificial-neural-network-assisted adaptive algorithms for IoV nonlinear active noise control

KL Yin, YF Pu, L Lu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a central role in intelligent transportation systems.
Components, such as motor and transmission in the vehicle may produce noise, which …

Estimating Shannon and constrained capacities of Bernoulli-Gaussian impulsive noise channels in Rayleigh fading

HV Vu, NH Tran, TV Nguyen… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper presents a novel approach to tightly estimate the ergodic Shannon and
constrained capacities of an additive Bernoulli-Gaussian (BG) impulsive noise channel in …

Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems

Z Wen, M Liu, Y Chen, N Zhao… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Symbiotic chirp-ultra wide bandwidth (UWB) radio system (SCURS) is a UWB radio system
with the symbiosis of linear frequency modulation (LFM) and orthogonal frequency division …