Name
Abstract | ||
|---|---|---|
The problem of identifying digital amplitude-phase modulations under additive noise is addressed within the theory of empirical Bayes deconvolution. The presented methods employ parametric models in the observation and signal constellation spaces. The model parameters are estimated using the received samples and then substituted into the respective models to obtain the estimate for the signal cons... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVT.2018.2800111 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Dictionaries,Deconvolution,Additive noise,Constellation diagram,Probability density function,Convolution | Parametric model,Convolution,Computer science,Deconvolution,Algorithm,Modulation,Electronic engineering,Constellation diagram,Decoding methods,Statistical hypothesis testing,Bayes' theorem | Journal |
Volume | Issue | ISSN |
67 | 7 | 0018-9545 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Berkan Dulek | 1 | 107 | 13.74 |