Synthesizing EEG Signals from Speech Signals Using BCI's with EKF-Based Training-Reference-Cited by-同舟云学术

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Synthesizing EEG Signals from Speech Signals Using BCI's with EKF-Based Training

Published:2021-12-22 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Industrial Electronics Research and Applications (ICIERA)
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Author:

Sagar Guguloth¹,Parthasarathy Harish²,Agarwal Vijyant¹,Upreti Vijay¹

Affiliation:

1. Netaji Subhas University of Technology,MECHANICAL ENGINEERING,New Delhi,India

2. Netaji Subhas University of Technology,ELECTRONICS AND COMMUNICATION ENGINEERING,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9726700/9726529/09726748.pdf?arnumber=9726748

Reference12 articles.

1. Stochastic non-linear oscillator models of EEG: the Alzheimer's disease case

2. A Novel Adaptive Fading Kalman Filter-Based Approach to Time-Varying Brain Spectral/Connectivity Analyses of Event-Related EEG Signals

3. Brain-Computer Interfacing for Intelligent Systems

4. Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks;ubeyli;Digit Signal Process,2009

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Synthesis of EEG signals modeled using non-linear oscillator based on speech data with EKF;Biomedical Signal Processing and Control;2022-08

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