Our work “Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks” is accepted to IEEE Journal on Selected Areas in Communications, and will appear in its July 2021 issue.

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“Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks” is now accepted to IEEE Journal on Selected Areas in Communications, and will appear in the special issue ‘Machine Learning in Communications and Networks’ for July 2021.

The preprint is expected to have another minor update, and the full source code has been published to the original github repository.