An Analysis of Turbo Decoding with Gaussian Densities

Paat Rusmevichientong, Benjamin Van Roy

Advances in Neural Information Processing Systems 12 (NIPS 1999)

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.

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