A general computation rule for lossy summaries/messages with examples from equalization
| dc.creator | Hu, Junli | |
| dc.creator | Loeliger, Hans-Andrea | |
| dc.creator | Dauwels, Justin | |
| dc.creator | Kschischang, Frank | |
| dc.date | 2006-07-07 | |
| dc.date | 2006-10-01 | |
| dc.date.accessioned | 2026-07-07T08:16:38Z | |
| dc.date.available | 2026-07-07T08:16:38Z | |
| dc.description | 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. | |
| dc.description | Proc. of the 44th Allerton Conference on Communication, Control, and Computing, Monticello, Ill., USA, Sept. 2006 | |
| dc.identifier | https://arxiv.org/abs/cs/0607027 | |
| dc.identifier | http://arxiv.org/abs/cs/0607027 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/133845 | |
| dc.subject | Information Theory | |
| dc.title | A general computation rule for lossy summaries/messages with examples from equalization | |
| dc.type | text |