Results 261 to 270 of about 1,841,199 (345)

Adaptive Impulsive Noise Suppression: A Deep Learning-Based Parameters Estimation Approach

IEEE transactions on broadcasting, 2023
In order to obtain favorable communication performance, impulsive noise needs to be suppressed which is a major interference in scenarios such as broadcasting system and power line communication.
Yue He, Cong Zou, Dejian Li, Ruilong Yao, Fang Yang, Jian Song   +5 more
semanticscholar   +1 more source

Effect of Impulsive Noise on IRS-Aided Communication Systems

IEEE Transactions on Vehicular Technology, 2023
Recent studies have explored the potential benefits of the intelligent reflecting surface (IRS) in different wireless communication scenarios. However, no work has quantitatively analyzed the performance of IRS-aided communication systems impaired by non-
Umer Ashraf, G. R. Begh
semanticscholar   +1 more source

Message Passing-Based Impulsive Noise Mitigation and Channel Estimation for Underwater Acoustic OFDM Communications

IEEE Transactions on Vehicular Technology, 2022
The impulsive noise and the time-varying channel are two major detrimental factors which greatly constrain the performance of underwater acoustic communications (UACs). Utilizing the joint sparsity of the impulsive noise and the channel impulse response,
Xiao Feng, Junfeng Wang, Xiaoyan Kuai, Mingzhang Zhou, Haixin Sun, Jianghui Li   +5 more
semanticscholar   +1 more source

Robust Exponential Hyperbolic Sine Adaptive Filter for Impulsive Noise Environments

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
In recent years, the hyperbolic family of adaptive algorithms have been widely used to combat impulsive noise. The novel exponential hyperbolic sine adaptive filters (EHSAF) and the normalized exponential hyperbolic sine adaptive filter (NEHSAF) suitable
R. S., F. Albu, A. Chandrasekar
semanticscholar   +1 more source

IAFNet: Few-Shot Learning for Modulation Recognition in Underwater Impulsive Noise

IEEE Communications Letters, 2022
Deep learning (DL)-based modulation recognition methods are challenging in the case of few labeled samples and underwater impulsive noise. In this letter, we propose a novel network structure named IAFNet to achieve higher recognition accuracy of ...
Haiwang Wang, Bing Wang, Yongbin Li
semanticscholar   +1 more source

Non-Circular Sources DOA Estimation for Coprime Array With Impulsive Noise: A Novel Augmented Phased Fractional Low-Order Moment

IEEE Transactions on Vehicular Technology, 2022
The coprime array has become an essential part of array signal processing, which can obtain a much higher degrees of freedom (DOFs) and larger aperture than that of the conventional approaches.
Xu-dong Dong, Xiaofei Zhang, Jun Zhao, Meng Sun   +3 more
semanticscholar   +1 more source

Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise

International Journal of Robust and Nonlinear Control, 2021
The non‐Gaussian characteristic of the impulsive noise significantly degrades the performance of the ℓ2 ‐norm‐based identification algorithms. To overcome the negative effects of impulsive noise to system identification, this article develops a modified ...
Xuehai Wang, F. Ding
semanticscholar   +1 more source

Robust Maximum Correntropy Criterion Subband Adaptive Filter Algorithm for Impulsive Noise and Noisy Input

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021
In this brief, an improved maximum correntropy criterion subband adaptive filter (MCC-SAF) algorithm is presented, which has excellent performance for alleviating the effect of impulsive noise and noisy input.
Haiquan Zhao, Dongxu Liu, Shaohui Lv
semanticscholar   +1 more source

Local damage detection based on vibration data analysis in the presence of Gaussian and heavy-tailed impulsive noise

, 2021
Local damage detection in bearings focuses on the identification of periodically impulsive components. Popular methods assume presence of either non-Gaussian noise or different frequency band for informative and non-informative impulses, and use ...
J. Wodecki, A. Michalak, R. Zimroz
semanticscholar   +1 more source

A Fractional-Order Adaptive Filtering Algorithm in Impulsive Noise Environments

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021
As classical adaptive filtering algorithms, least mean $p$ -norm (LMP) and its variants have good convergence performance in impulsive noise obeying $\alpha $ -stable distribution with the characteristic exponent $\alpha \in (1,2]$ .
Yongjiang Luo, Jiali Yang, Qiang Zhang, Changlong Wang   +3 more
semanticscholar   +1 more source