An Analysis of Turbo Decoding with Gaussian Densities
Abstract
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.
Cite
Text
Rusmevichientong and Van Roy. "An Analysis of Turbo Decoding with Gaussian Densities." Neural Information Processing Systems, 1999.Markdown
[Rusmevichientong and Van Roy. "An Analysis of Turbo Decoding with Gaussian Densities." Neural Information Processing Systems, 1999.](https://mlanthology.org/neurips/1999/rusmevichientong1999neurips-analysis/)BibTeX
@inproceedings{rusmevichientong1999neurips-analysis,
title = {{An Analysis of Turbo Decoding with Gaussian Densities}},
author = {Rusmevichientong, Paat and Van Roy, Benjamin},
booktitle = {Neural Information Processing Systems},
year = {1999},
pages = {575-581},
url = {https://mlanthology.org/neurips/1999/rusmevichientong1999neurips-analysis/}
}