Results 31 to 40 of about 13,126 (118)
Frontiers in Neuroscience, 2016 Several neural decoding algorithms have successfully converted brain signals into commands to control a computer cursor and prosthetic devices. A majority of decoding methods, such as population vector algorithms (PVA), optimal linear estimators (OLE ...
Shih-Hung Yang +14 more
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IET Cyber-systems and Robotics, 2021 In recent years, the electroencephalography (EEG) brain–computer interface (BCI) has been researched in the area of upper‐limb prosthesis control due to the promise of being able to record neurological signals which follow activation patterns in the ...
Ejay Nsugbe +3 more
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Generalization of VLC Decoding Trees-to-Processes Translation
Journal of Advances in Information Technology, 2010 In an earlier paper, we presented a novel application of Communicating Sequential Processes (CSP) to the modeling of variable length code (VLC) synchronization.
Guan Hong, ACM Fong
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An Improved Genetic Algorithms for Multi-objective Hybrid Flow-shop Scheduling Problem [PDF]
E3S Web of Conferences, 2019 To deal with the multi-objective hybrid flow Shop Scheduling Problem (HFSP), an improved genetic algorithms based on parallel sequential moving and variable mutation rate is proposed. Compared with the traditional GA, the algorithm proposed in this paper
Zijin Zhao, aimin Wang, Yan Ge, Lin Lin
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IEEE Access, 2020 Dynamic bit encoding and decoding of the magnetic recording process remain a challenge in that the process is restrained by the balance between reading and writing performance of the decoder's bit error rate (BER).
Teanchai Chantakit +2 more
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Efficient Detection Scheme for Physical-Layer Network Coding in Multiway Relay Channels
IEEE Access, 2019 In this paper, we propose a novel scheme for physical-layer network coding (PNC) in multiway relay channels (MWRC) from the perspective of sequential multiuser detection.
Hao Li +3 more
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Improving BDD Enumeration for LWE Problem Using GPU
IEEE Access, 2020 In this paper, we present a GPU-based parallel algorithm for the Learning With Errors (LWE) problem using a lattice-based Bounded Distance Decoding (BDD) approach.
Mohamed S. Esseissah +2 more
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Joint Estimation and Decoding of Space-Time Trellis Codes
EURASIP Journal on Advances in Signal Processing, 2002 We explore the possibility of using an emerging tool in statistical signal processing, sequential importance sampling (SIS), for joint estimation and decoding of space-time trellis codes (STTC).
Zhang Jianqiu, Djurić Petar M
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Anomaly Detection in Gas Turbine Fuel Systems Using a Sequential Symbolic Method
Energies, 2017 Anomaly detection plays a significant role in helping gas turbines run reliably and economically. Considering the collective anomalous data and both sensitivity and robustness of the anomaly detection model, a sequential symbolic anomaly detection method
Fei Li +5 more
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Iterative Syndrome-Based Deep Neural Network Decoding
IEEE Open Journal of the Communications SocietyWhile the application of deep neural networks (DNNs) for channel decoding is a well-researched topic, most studies focus on hard output decoding, potentially restricting the practical application of such decoders in real communication systems.
Dmitry Artemasov +3 more
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