Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation. [PDF]
Nat Commun, 2023 The expansion of telecommunications incurs increasingly severe crosstalk and interference, and a physical layer cognitive method, called blind source separation (BSS), can effectively address these issues.
Zhang W +8 more
europepmc +3 more sources
Advances in Blind Source Separation [PDF]
EURASIP Journal on Advances in Signal Processing, 2007 n ...
Ehlers Frank, Cichocki Andrzej
doaj +4 more sources
A Blind Source Separation Method Based on Bounded Component Analysis Optimized by the Improved Beetle Antennae Search [PDF]
Sensors, 2023 Currently, the widely used blind source separation algorithm is typically associated with issues such as a sluggish rate of convergence and unstable accuracy, and it is mostly suitable for the separation of independent source signals.
Mingyang Tang, Yafeng Wu
doaj +2 more sources
Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM. [PDF]
Sensors (Basel), 2021 Aiming at the problem of insufficient separation accuracy of aliased signals in space Internet satellite-ground communication scenarios, a stacked long short-term memory network (Stacked-LSTM) separation method based on deep learning is proposed.
Zhao M +5 more
europepmc +2 more sources
Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm [PDF]
Sensors, 2022 The conventional blind source separation independent component analysis method has the problem of low-separation performance. In addition, the basic butterfly optimization algorithm has the problem of insufficient search capability. In order to solve the
Qingyu Xia +5 more
doaj +2 more sources
A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network. [PDF]
Sensors (Basel), 2019 Brain-Computer Interfaces (BCI) are systems that allow the interaction of people and devices on the grounds of brain activity. The noninvasive and most viable way to obtain such information is by using electroencephalography (EEG). However, these signals
Ortiz-Echeverri CJ +3 more
europepmc +2 more sources
Autoencoder based blind source separation for photoacoustic resolution enhancement [PDF]
Scientific Reports, 2020 Photoacoustics is a promising technique for in-depth imaging of biological tissues. However, the lateral resolution of photoacoustic imaging is limited by size of the optical excitation spot, and therefore by light diffraction and scattering.
Matan Benyamin +8 more
doaj +2 more sources
IEEE Access, 2018 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 wireless receiver.
Zhongqiang Luo, Chengjie Li, Lidong Zhu
doaj +2 more sources
Performance measurement in blind audio source separation
IEEE Transactions on Audio Speech and Language Processing, 2006 C Fevotte, R Gribonval
exaly +2 more sources
Ongoing EEG artifact correction using blind source separation. [PDF]
Clinical Neurophysiology, 2023 OBJECTIVE Analysis of the electroencephalogram (EEG) for epileptic spike and seizure detection or brain-computer interfaces can be severely hampered by the presence of artifacts.
N. Ille +14 more
semanticscholar +1 more source