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Random Fourier Feature Based Deep Learning for Wireless Communications

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preprint
posted on 12.11.2021, 22:02 authored by Rangeet MItraRangeet MItra, Georges Kaddoum
This paper provides analytical results on fixed kernel width based RFF based DL (RFF-DL). The derived analysis and the presented case-studies indicate the RFF-DL's robustness to kernel-width initializations, and offers improved convergence in the low-data regime.

History

Email Address of Submitting Author

rangeet.mitra.1@ens.etsmtl.ca

Submitting Author's Institution

ETS Montreal

Submitting Author's Country

India