A comprehensive survey on blind source separation for wireless adaptive processing: Principles, perspectives, challenges and new research directions

Z Luo, C Li, L Zhu - Ieee Access, 2018 - ieeexplore.ieee.org
With the rapid proliferation of wireless services, the frequency spectrum has become
increasingly crowded, and the interferences and composite signals will be ubiquitous in the …

Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference

Z Uddin, M Altaf, M Bilal, L Nkenyereye… - Computer …, 2020 - Elsevier
Owing to small size, sensing capabilities and autonomous nature, the Unmanned Air
Vehicles (UAVs) have enormous applications in various areas eg, remote sensing …

Independent vector analysis: Model, applications, challenges

Z Luo - Pattern Recognition, 2023 - Elsevier
This paper overviews an appealing unsupervised learning method named independent
vector analysis (IVA) for its promising applications, such as in audio/speech signal …

ICA‐based solar photovoltaic fault diagnosis

FA Qureshi, Z Uddin, MB Satti… - … Transactions on Electrical …, 2020 - Wiley Online Library
Faults are natural for any practical system including photovoltaic (PV) power generation
systems that need to be diagnosed accordingly to maximize its efficiency. However, faults …

Independent vector analysis inspired amateur drone detection through acoustic signals

Z Uddin, J Nebhen, M Altaf, FA Orakzai - IEEE Access, 2021 - ieeexplore.ieee.org
Detection of amateur drones (AmDrs) is mandatory requirement of various defence
organizations and is also required to protect human life. In literature, various researchers …

Full-duplex amplify-and-forward relay system with direct link: Performance analysis and optimization

BC Nguyen, XN Tran, DT Tran - Physical Communication, 2019 - Elsevier
In this paper, we analyze the performance of a full-duplex (FD) amplify-and-forward (AF)
relay system under various cases of relaying gains and channel state information conditions …

ICA based sensors fault diagnosis: an audio separation application

Z Uddin, A Qamar, F Alam - Wireless Personal Communications, 2021 - Springer
Independent component analysis (ICA) is a well known technique of blind source separation
(BSS) and is used in various applications, eg speech, biomedical, communication, robotics …

An EEMD-based electromagnetic induction method for nondestructive testing of buried metal conductors

H Song, H Dong, Z Yuan, J Zhu, H Zhang… - IEEE Access, 2019 - ieeexplore.ieee.org
Nondestructive testing of substation grounding grids is an issue that has increasing
importance. The traditional EMI method transforms the condition of the undergrounding …

A variety of engine faults detection based on optimized variational mode decomposition-robust independent component analysis and fuzzy C-mean clustering

X Bi, S Cao, D Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
As one kind of current main power sources, internal combustion engines require high-
reliability to ensure mechanical systems working well in normal operation. This paper …

The bidirectional information fusion using an improved LSTM model

T Zheng, M Wang, Y Guo… - Mobile Information Systems, 2021 - Wiley Online Library
The information fusion technology is of great significance in intelligent systems. At present,
the modern coal‐fired power plant has the fully functional sensor network. However, many …