Name
Abstract | ||
|---|---|---|
We consider maximum-likelihood sequence estimation (MLSE) algorithms for unknown, time-varying intersymbol interference communication channels. We assume a statistical channel model, and marginalize over model parameters to derive expectation-maximization (EM) algorithms for both time-independent Gaussian and Gauss-Markov models, and we contrast these with direct MLSE and computationally efficient... |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TCOMM.2003.811381 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Maximum likelihood estimation,Time-varying channels,Signal processing algorithms,Intersymbol interference,Gaussian channels,Convergence,Maximum likelihood detection,Parameter estimation,Iterative algorithms,Viterbi algorithm | Convergence (routing),Intersymbol interference,Markov process,Computer science,Communication channel,Algorithm,Gaussian,Gaussian process,Maximum likelihood sequence estimation,Estimator | Journal |
Volume | Issue | ISSN |
51 | 5 | 0090-6778 |
Citations | PageRank | References |
3 | 0.51 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hai Chen | 1 | 13 | 4.14 |
| R. Perry | 2 | 6 | 0.94 |
| K. Buckley | 3 | 116 | 34.21 |