Poster
in
Workshop: Workshop on Machine Learning and Compression
Polar Codes for Channel Simulation
Sharang Sriramu · Rochelle Barsz · Elizabeth Polito · Aaron Wagner
Abstract:
We consider the design of practically-implementable schemes for the task of channel simulation. Existing methods do not scale with the number of simultaneous uses of the channel and are therefore unable to harness the amortization gains associated with simulating many uses of the channel at once. We propose a new scheme that uses polar codes to efficiently simulate i.i.d. copies of a class of binary-output channels.
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