An Analysis of Turbo Decoding with Gaussian Densities

Rusmevichientong, Paat, Roy, Benjamin Van

Neural Information Processing Systems 

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

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