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 …
Detection of mental stress through EEG signal in virtual reality environment
This paper investigates the use of an electroencephalogram (EEG) signal to classify a
subject's stress level while using virtual reality (VR). For this purpose, we designed an …
subject's stress level while using virtual reality (VR). For this purpose, we designed an …
Blind source separation in 3rd generation gravitational-wave detectors
F Badaracco, B Banerjee, M Branchesi… - New Astronomy …, 2024 - Elsevier
Third generation and future upgrades of current gravitational-wave detectors will present
exquisite sensitivities which will allow to detect a plethora of gravitational wave signals …
exquisite sensitivities which will allow to detect a plethora of gravitational wave signals …
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 …
Vital sign detection in any orientation using a distributed radar network via modified independent component analysis
W Ren, F Qi, F Foroughian, T Kvelashvili… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recent advances in radar systems have demonstrated the possibility of noncontact human
vital signs detection. Most prior research has focused on vital sign detection with specific …
vital signs detection. Most prior research has focused on vital sign detection with specific …
Learning-based resource management for low-power and lossy IoT networks
Internet of Things (IoT) networks are key to the realization of modern industries and
societies. A key application of IoT is in smart-grid communications. Smart-grid networks are …
societies. A key application of IoT is in smart-grid communications. Smart-grid networks are …
Congestion Aware Q-Learning (CAQL) in RPL Protocol–WSN based IoT Networks
In an Internet of Things (IoT) based real network scenario, the miscellaneous sensor
applications are present which produce a heterogeneous traffic prototype. RPL (Routing …
applications are present which produce a heterogeneous traffic prototype. RPL (Routing …
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 …
Underdetermined blind source separation for linear instantaneous mixing system in the non-cooperative wireless communication
W Cui, S Guo, L Ren, Y Yu - Physical Communication, 2021 - Elsevier
Under the condition of non-cooperative wireless communication, many signals always
overlap in time–frequencyfield, therefore, the signal separation and reconstruction of the …
overlap in time–frequencyfield, therefore, the signal separation and reconstruction of the …
Periodic Monitoring and Filtering Suppression of Signal Interference in Mine 5G Communication
L Zhang, W Yang, W Fang, Y Jiang, Q Zhao - Applied Sciences, 2022 - mdpi.com
Featured Application This work can be applied to 5G communication systems' deployment in
underground mines, specifically to eliminate the impact of interference caused by multiple …
underground mines, specifically to eliminate the impact of interference caused by multiple …