Optimal Signal Sets for Non-Gaussian Detectors
| dc.contributor.author | Gockenbach, Mark S. | en_US |
| dc.contributor.author | Kearsley, Anthony J. | en_US |
| dc.date.accessioned | 2018-06-18T17:42:17Z | en_US |
| dc.date.available | 2018-06-18T17:42:17Z | en_US |
| dc.date.issued | 1995-05 | en_US |
| dc.date.note | May 1995 | en_US |
| dc.description.abstract | Identifying a maximally-separated set of signals is important in the design of modems. The notion of optimality is dependent on the model chosen to describe noise in the measurements; while some analytic results can be derived under the assumption of Gaussian noise, no such techniques are known for choosing signal acts in the non-Gaussian case. To obtain numerical solutions for non-Gaussian detectors, minimax problems are transformed into nonlinear programs,resulting in a novel formulation yielding problems with relatively few variables and many inequality constraints. Using sequential quadratic programming, optimal signal sets are obtained for a variety of noise distributions. | en_US |
| dc.format.extent | 10 pp | en_US |
| dc.identifier.citation | Gockenbach, Mark S. and Kearsley, Anthony J.. "Optimal Signal Sets for Non-Gaussian Detectors." (1995) <a href="https://hdl.handle.net/1911/101856">https://hdl.handle.net/1911/101856</a>. | en_US |
| dc.identifier.digital | TR95-11 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/101856 | en_US |
| dc.language.iso | eng | en_US |
| dc.relation.HasVersion | SIAM J. Optim. 9 (1999), no. 2, 316-326 | en_US |
| dc.title | Optimal Signal Sets for Non-Gaussian Detectors | en_US |
| dc.type | Technical report | en_US |
| dc.type.dcmi | Text | en_US |
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