Name
Abstract | ||
|---|---|---|
In this paper we address sequence estimation when the In- terSymbol Interference (ISI) communication channel is un- known and time varying. We employ a Maximum A Pos- terior (MAP) approach, in which the unknown channel pa- rameters are assigned a distribution and integrated out. Fo r several channel models of interest we describe both the ex- act MAP estimator and Viterbi algorithm based implemen- tations. We also present EM algorithms for solving these MAP sequence estimation problems, and we contrast these EM solutions with direct MAP algorithms. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ICASSP.2001.940414 | ICASSP |
Keywords | Field | DocType |
digital communication,intersymbol interference,maximum likelihood sequence estimation,optimisation,time-varying channels,EM algorithms,ISI,MAP estimation,Viterbi algorithm,channel models,digital communication,intersymbol interference,maximum a posteriori estimation,parameter estimation,sequence estimation,time varying channel,unknown channel | Intersymbol interference,Channel models,Pattern recognition,Computer science,Communication channel,Artificial intelligence,Nyquist ISI criterion,Maximum a posteriori estimation,Maximum likelihood sequence estimation,Viterbi algorithm,Estimator | Conference |
Volume | Citations | PageRank |
4 | 3 | 0.43 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. Chen | 1 | 3 | 0.43 |
| R. Perry | 2 | 6 | 0.94 |
| K. Buckley | 3 | 116 | 34.21 |