A Hybrid LSTM-ResNet Deep Neural Network for Noise Reduction and Classification of V-Band Receiver Signals

Homa Arab, Iman Ghaffari, Romaric Mvone Evina, Serioja Ovidiu Tatu and Steven Dufour

Article (2022)

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Department:	Department of Mathematics and Industrial Engineering
PolyPublie URL:	https://publications.polymtl.ca/50241/
Journal Title:	IEEE Access (vol. 10)
Publisher:	IEEE
DOI:	10.1109/access.2022.3147980
Official URL:	https://doi.org/10.1109/access.2022.3147980
Date Deposited:	18 Apr 2023 14:58
Last Modified:	18 Apr 2023 14:58

Cite in APA 7:	Arab, H., Ghaffari, I., Evina, R. M., Tatu, S. O., & Dufour, S. (2022). A Hybrid LSTM-ResNet Deep Neural Network for Noise Reduction and Classification of V-Band Receiver Signals. IEEE Access, 10, 14797-14806. https://doi.org/10.1109/access.2022.3147980
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