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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 …
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
Owing to small size, sensing capabilities and autonomous nature, the Unmanned Air
Vehicles (UAVs) have enormous applications in various areas eg, remote sensing …
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 …
vector analysis (IVA) for its promising applications, such as in audio/speech signal …
ICA‐based solar photovoltaic fault diagnosis
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 …
systems that need to be diagnosed accordingly to maximize its efficiency. However, faults …
Independent vector analysis inspired amateur drone detection through acoustic signals
Detection of amateur drones (AmDrs) is mandatory requirement of various defence
organizations and is also required to protect human life. In literature, various researchers …
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 …
relay system under various cases of relaying gains and channel state information conditions …
ICA based sensors fault diagnosis: an audio separation application
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 …
(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 …
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 …
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 …
the modern coal‐fired power plant has the fully functional sensor network. However, many …