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Creators/Authors contains: "Eltawil, Ahmed M"

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  1. ; ; ; ; ; (, IEEE Transactions on Wireless Communications)
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  2. ; ; ; ; (, IEEE Journal on Emerging and Selected Topics in Circuits and Systems)
    null (Ed.)
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  3. ; ; (, Journal of Signal Processing Systems)
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  4. ; (, IEEE Access)
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  5. ; ; (, 2019 53rd Asilomar Conference on Signals, Systems, and Computers)
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  6. ; ; (, IEEE Access)
  7. ; ; (, IEEE Wireless Communications Letters)
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  8. ; ; ; (, IEEE Transactions on Nanotechnology)
    Resistive Random-Access Memories (RRAM)s are considered a promising candidate for neuromorphic circuits and systems. In the letter, we investigate using TiO 2 RRAMs to solve blind source separation problem through Independent Component Analysis (ICA) for the first time. ICA has numerous uses including feature extraction. We deploy a local, unsupervised learning algorithm (error-gated Hebbian rule) to extract the independent components. The online evaluation of the weights during the training is studied taking into consideration the asymmetric nonlinear weight update behavior. The effects of the device variability are considered in the results. Finally, an example of de-mixing two Laplacian signals is given to demonstrate the efficacy of the approach. 
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  9. ; ; (, 2018 52nd Asilomar Conference on Signals, Systems, and Computers)
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  10. ; (, Transactions on Emerging Telecommunications Technologies)
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