Fifty years of noise modeling and mitigation in power-line communications
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 …
has been successfully used in diverse application scenarios, including the smart grid and in …
Stable distributions as noise models for molecular communication
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) …
different timing channels are presented based on three different modulation techniques, ie, i) …
Capacity Bounds for Additive Symmetric -Stable Noise Channels
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 …
molecular-and is often modeled by the α-stable distribution. At present, the capacity of α …
Tracking dynamic systems in α-stable environments
In order to accommodate for modern adaptive filtering applications, the classic adaptive
filtering paradigm is considered from a more general perspective. The new formulation …
filtering paradigm is considered from a more general perspective. The new formulation …
Communication system design and analysis for asynchronous molecular timing channels
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 …
One is based on modulating information on the time between two consecutive releases of …
Minimum error entropy algorithms with sparsity penalty constraints
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 …
sparsity as well as to mitigate various noise disturbances in many applications. In particular …
Proportionate minimum error entropy algorithm for sparse system identification
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 …
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
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 …
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
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 …
constrained capacities of an additive Bernoulli-Gaussian (BG) impulsive noise channel in …
Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems
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 …
with the symbiosis of linear frequency modulation (LFM) and orthogonal frequency division …