An Analysis of Turbo Decoding with Gaussian Densities

Part of Advances in Neural Information Processing Systems 12 (NIPS 1999)

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Paat Rusmevichientong, Benjamin Van Roy


We provide an analysis of the turbo decoding algorithm (TDA) in a setting involving Gaussian densities. In this context, we are able to show that the algorithm converges and that - somewhat surprisingly - though the density generated by the TDA may differ significantly from the desired posterior density, the means of these two densities coincide.