Assessment of background noise properties in time and time–frequency domains in the context of vibration-based local damage detection in real environment

K Skowronek, T Barszcz, J Antoni, R Zimroz… - … Systems and Signal …, 2023 - Elsevier
Any measurement in condition monitoring applications is associated with disturbing noise.
Till now, most of the diagnostic procedures have assumed the Gaussian distribution for the …

A survey on spectrum sensing and learning technologies for 6G

Z Song, Y Gao, R Tafazolli - IEICE Transactions on …, 2021 - search.ieice.org
Cognitive radio provides a feasible solution for alleviating the lack of spectrum resources by
enabling secondary users to access the unused spectrum dynamically. Spectrum sensing …

[PDF][PDF] 相关熵与循环相关熵信号处理研究进展

邱天爽 - 电子与信息学报, 2020 - jeit.ac.cn
在无线电监测和目标定位等应用中, 接收信号经常会受到脉冲噪声和同频带干扰等复杂电磁环境
的影响, 传统的基于2 阶统计量的信号处理方法往往不能正常工作, 基于分数低阶统计量的信号 …

Development in signal processing based on correntropy and cyclic correntropy

T QIU - 电子与信息学报, 2020 - jeit.ac.cn
In radio monitoring and target location applications, the received signals are often affected
by complex electromagnetic environment, such as impulsive noise and cochannel …

Generalized spectral coherence for cyclostationary signals with α-stable distribution

P Kruczek, R Zimroz, J Antoni, A Wyłomańska - Mechanical Systems and …, 2021 - Elsevier
The statistical characteristics of cyclostationary signals vary periodically in time. In the
Gaussian (or second-order) case this property is typically related to the periodic …

Influence of non-Gaussian noise on the effectiveness of cyclostationary analysis–Simulations and real data analysis

J Wodecki, A Michalak, A Wyłomańska, R Zimroz - Measurement, 2021 - Elsevier
Cyclostationary analysis is a useful approach in diagnostics of the machinery with rotating
components. It allows indicating the cyclic modulations in the signal via analysis of a bi …

DOA estimation for CD sources by complex cyclic correntropy in an impulsive noise environment

Q Tian, T Qiu, R Cai - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Impulsive noise degrades the performance of direction-of-arrival (DOA) estimation methods
since the optimization for subspace-like techniques relies on an assumption of Gaussianity …

An efficient real-valued sparse Bayesian learning for non-circular signal's DOA estimation in the presence of impulsive noise

J Zhang, T Qiu, S Luan - Digital Signal Processing, 2020 - Elsevier
Currently, sparse Bayesian learning (SBL) has been introduced to solve direction of arrival
(DOA) estimation in different situations. In the line of DOA estimation under impulsive noise …

Local defect detection in bearings in the presence of heavy-tailed noise and spectral overlapping of informative and non-informative impulses

J Nowicki, J Hebda-Sobkowicz, R Zimroz… - Sensors, 2020 - mdpi.com
The problem of the informative frequency band (IFB) selection for local fault detection is
considered in the paper. There are various approaches that are very effective in this issue …

Multi-domain extreme learning machine for bearing failure detection based on variational modal decomposition and approximate cyclic correntropy

X Wang, G Sui, J Xiang, G Wang, Z Huo… - Ieee Access, 2020 - ieeexplore.ieee.org
Rolling bearings are critical in industrial mining machinery. Due to strong Gaussian noise,
frequent random shocks, and disordered loads in industrial settings, it is usually difficult to …