A general computation rule for lossy summaries/messages with examples from equalization
Information Theory
2007-07-13 v2 math.IT
Abstract
Elaborating on prior work by Minka, we formulate a general computation rule for lossy messages. An important special case (with many applications in communications) is the conversion of "soft-bit" messages to Gaussian messages. By this method, the performance of a Kalman equalizer is improved, both for uncoded and coded transmission.
Keywords
Cite
@article{arxiv.cs/0607027,
title = {A general computation rule for lossy summaries/messages with examples from equalization},
author = {Junli Hu and Hans-Andrea Loeliger and Justin Dauwels and Frank Kschischang},
journal= {arXiv preprint arXiv:cs/0607027},
year = {2007}
}
Comments
Proc. of the 44th Allerton Conference on Communication, Control, and Computing, Monticello, Ill., USA, Sept. 2006