Suchergebnisse - "Decoding algorithm"

  1. 1

    Decoding algorithm appreciation: Unveiling the impact of familiarity with algorithms, tasks, and algorithm performance von Mahmud, Hasan, Islam, A.K.M. Najmul, Luo, Xin (Robert), Mikalef, Patrick

    ISSN: 0167-9236
    Veröffentlicht: Elsevier B.V 01.04.2024
    Veröffentlicht in Decision Support Systems (01.04.2024)
    “… Algorithm appreciation, defined as an individual's reliance or tendency to rely on algorithms in decision-making, has emerged as a subject of growing scholarly interest …”
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  2. 2

    A Transfer Learning SSVEP Decoding Algorithm Calibrated With Single-Trial Data von Jin, Jing, Qin, Ke, Allison, Brendan Z., Li, Shurui, Zhang, Yutao, Wang, Xingyu, Cichocki, Andrzej

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: United States IEEE 24.10.2025
    “… Training-based algorithms significantly outperform training-free methods in terms of recognition performance for steady-state visual-evoked potential …”
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  3. 3

    Dataset Evaluation Method and Application for Performance Testing of SSVEP-BCI Decoding Algorithm von Liang, Liyan, Zhang, Qian, Zhou, Jie, Li, Wenyu, Gao, Xiaorong

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Switzerland MDPI AG 11.07.2023
    Veröffentlicht in Sensors (Basel, Switzerland) (11.07.2023)
    “… Most new SSVEP decoding algorithms are tested based on self-collected data or offline performance verification using one or two previous datasets, which can lead to performance differences when used …”
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  4. 4

    A cross-subject decoding algorithm for patients with disorder of consciousness based on P300 brain computer interface von Wang, Fei, Wan, Yinxing, Li, Zhuorong, Qi, Feifei, Li, Jingcong

    ISSN: 1662-453X, 1662-4548, 1662-453X
    Veröffentlicht: Switzerland Frontiers Research Foundation 20.07.2023
    Veröffentlicht in Frontiers in neuroscience (20.07.2023)
    “… ), which can directly connect the brain and external devices. However, the DOC patients' EEG differ significantly from that of the normal person and are difficult to collected, the decoding algorithm currently only is trained based on a small amount …”
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  5. 5

    SMMTM: Motor imagery EEG decoding algorithm using a hybrid multi-branch separable convolutional self-attention temporal convolutional network von Cao, DianGuo, Yu, ZhenYuan, Wang, Jinqiang, Wu, Yuqiang

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 23.10.2025
    Veröffentlicht in PloS one (23.10.2025)
    “… Motor imagery (MI) is a brain-computer interface (BCI) technology with the potential to change human life in the future. MI signals have been widely applied in …”
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  6. 6

    Weighted Filter Bank and Regularization Common Spatial Pattern-Based Decoding Algorithm for Brain-Computer Interfaces von Ye, Jincai, Zhu, Jiajie, Huang, Shoulin

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 01.05.2025
    Veröffentlicht in Applied sciences (01.05.2025)
    “… The algorithm divides the signal into multiple frequency bands, adaptively assigns subject weights based on the mutual information maximization criterion, and optimizes the covariance matrix …”
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  7. 7

    A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance von Meng, Jianjun, Edelman, Bradley J., Olsoe, Jaron, Jacobs, Gabriel, Zhang, Shuying, Beyko, Angeliki, He, Bin

    ISSN: 1662-453X, 1662-4548, 1662-453X
    Veröffentlicht: Switzerland Frontiers Research Foundation 06.04.2018
    Veröffentlicht in Frontiers in neuroscience (06.04.2018)
    “… The selection of control signals, e.g., the channel configuration and decoding algorithm, plays a vital role in the online performance and progressing of BCI control …”
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  8. 8

    SMMTM: Motor imagery EEG decoding algorithm using a hybrid multi-branch separable convolutional self-attention temporal convolutional network von DianGuo Cao, ZhenYuan Yu, Jinqiang Wang, Yuqiang Wu

    ISSN: 1932-6203
    Veröffentlicht: Public Library of Science (PLoS) 01.01.2025
    Veröffentlicht in PloS one (01.01.2025)
    “… Motor imagery (MI) is a brain-computer interface (BCI) technology with the potential to change human life in the future. MI signals have been widely applied in …”
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    Journal Article
  9. 9

    AN INTERFERENCE-IMMUNE COMMUNICATION SYSTEM FOR DIGITAL DATA TRANSMISSION BASED ON A MULTI-CHANNEL CORRELATOR Part 1. DEVELOPMENT OF A SIGNAL FORMATION AND DECODING ALGORITHM FOR THE SUB-NOISE COMMUNICATION SYSTEM von Varavin, A., Yermak, H., Kudryavtsev, D., Vasiliev, O., Balaban, M., Melnyk, S., Zheltov, V., Fateev, O.

    ISSN: 1027-9636, 2415-7007
    Veröffentlicht: National Academy of Sciences of Ukraine, Institute of Radio Astronomy 01.03.2025
    Veröffentlicht in Radio physics and radio astronomy (Print) (01.03.2025)
    “… Subject and Purpose. The work aims to develop and study an interference-immune radio communication system for transmitting and receiving digital information and video images using a Software-Defined Radio (SDR …”
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  10. 10

    SYNCHRONIZATION RECOVERY WHEN DECODING MESSAGES USING A MODIFIED VITERBI DECODING ALGORITHM von Sinitsyn, Yu. Yu, Sizonenko, A. B.

    ISSN: 2072-3059
    Veröffentlicht: Penza State University Publishing House 01.10.2020
    “… The object of research is protected data transmission systems. The subject of research is various ways to correct errors in the communication channel …”
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  11. 11

    Adaptive Multi-Domain Joint Decoding Algorithm for SSVEP Signal Classification von Jia, Shuting, Cao, Rui

    ISSN: 2161-4407
    Veröffentlicht: IEEE 30.06.2025
    “… In this investigation, we introduce a adaptive multi-domain joint decoding algorithm tailored to address the SSVEP signal classification challenge …”
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  12. 12

    Towards Efficient Decoding Algorithm of q-Ary Codes from Lattice von Zhang, Xiaojun, Zhao, Wei, Xu, Lei, Ding, Yanzhang, Liu, Jianghua, Xu, Chungen

    ISSN: 2994-3523
    Veröffentlicht: IEEE 20.12.2024
    “… Linear code, a foundational construct extensively employed in communication, data transmission, and error correction, has been the subject of rigorous study for decades …”
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  13. 13

    Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets von Shuqfa, Zaid, Belkacem, Abdelkader Nasreddine, Lakas, Abderrahmane

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Switzerland MDPI AG 25.05.2023
    Veröffentlicht in Sensors (Basel, Switzerland) (25.05.2023)
    “… The use of Riemannian geometry decoding algorithms in classifying electroencephalography-based motor-imagery brain …”
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  14. 14

    Recognition of high-frequency steady-state visual evoked potential for brain-computer interface von Luo, Ruixin, Dou, Xinyi, Xiao, Xiaolin, Wu, Qiaoyi, Xu, Minpeng, Ming, Dong

    ISSN: 1001-5515
    Veröffentlicht: 25.08.2023
    Veröffentlicht in Sheng wu yi xue gong cheng xue za zhi (25.08.2023)
    “… However, most of the current advanced SSVEP decoding algorithms were compared and verified on low-frequency SSVEP datasets, and their recognition performance on high-frequency SSVEPs was still unknown …”
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  15. 15

    A Decoding algorithm for Non-invasive SSVEP-based Drone Flight Control von Hireche, Abdelhadi, Zennaia, Yasmine, Ayad, Redouane, Belkacem, Abdelkader Nasreddine

    Veröffentlicht: IEEE 09.12.2021
    “… In this paper, we propose a decoding algorithm for controlling a drone in a three-dimensional (3D …”
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  16. 16

    A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons von Wei, Baichun, Ding, Zhen, Yi, Chunzhi, Guo, Hao, Wang, Zhipeng, Zhu, Jianfei, Jiang, Feng

    ISSN: 1662-5218, 1662-5218
    Veröffentlicht: Lausanne Frontiers Research Foundation 10.08.2021
    Veröffentlicht in Frontiers in neurorobotics (10.08.2021)
    “… One main issue of the current motion decoding algorithms is that seldom algorithms provide both discrete motion patterns (e.g., gait phases …”
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  17. 17

    Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems: Guidelines Derived from Simulation and Real-World Data von Meinel, Andreas, Castaño-Candamil, Sebastián, Blankertz, Benjamin, Lotte, Fabien, Tangermann, Michael

    ISSN: 1539-2791, 1559-0089, 1559-0089
    Veröffentlicht: New York Springer US 01.04.2019
    Veröffentlicht in Neuroinformatics (Totowa, N.J.) (01.04.2019)
    “… We report on novel supervised algorithms for single-trial brain state decoding. Their reliability and robustness are essential to efficiently perform …”
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  18. 18

    Early-Stopped Technique for BCH Decoding Algorithm Under Tolerant Fault Probability von Hong-fu, Chou

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 11.07.2023
    Veröffentlicht in arXiv.org (11.07.2023)
    “… This technique is subject to decoding failure in exchange for the decoding latency. We analyze our proposed technique by considering the weight distribution of BCH code …”
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  19. 19

    Logical conditions analysis method for diagnostic test results decoding applied to competence elements proficiency von Freyman, V.I.

    ISSN: 2226-1494, 2500-0373
    Veröffentlicht: ITMO University 01.12.2015
    “… Subject of Research.Representation features of education results for competence-based educational programs are analyzed …”
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  20. 20

    Combining multi-scale convolutional neural network and Transformers for EEG-Based RSVP detection von Lu, Gai, Zhang, Yifan, Chu, Xingxing, Liu, Yingxin, Yu, Yang

    Veröffentlicht: IEEE 19.11.2022
    “… ) signal through a decoding algorithm is the key to RSVP-based BCI. The unavoidable noise and variability between trials in EEG signals lead to low accuracy of EEG-based RSVP detection and low universality of the model …”
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    Tagungsbericht