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AURATON 2100 TX Manuals
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SIT 537 ABC .pdf
Embed Size px x x x x AbstractEnd-to-end learning of communications systems isa fascinating novel concept that has so far only been validatedby simulations for block-based transmissions. It allows learningof transmitter and receiver implementations as deep neuralnetworks NNs that are optimized for an arbitrary differentiableend-to-end performance metric, e. In this paper, we demonstrate that over-the-air transmissionsare possible: We build, train, and run a complete communica-tions system solely composed of NNs using unsynchronized off-the-shelf software-defined radios SDRs and open-source deeplearning DL software libraries.
AURATON 2100 TX Manual