Name
Abstract | ||
|---|---|---|
The effects of dependent sampling on the sequential m-interval polynomial approximation (MIPA) array processing detectors are considered. This problem is approached on a weak signal basis; bivariate and Markovian types of dependence are used separately to model the dependence among the data samples.For practical implementations; we assume that the noise is independent between sensors; we will allow only temporal dependence to exist among the data collected by each sensor. Based on the relative efficiency criteria, the performance of these detectors is compared to that of their corresponding independent noise counterpart. It is concluded that improved performance is achieved. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1016/0020-0255(94)00117-T | Inf. Sci. |
Keywords | Field | DocType |
robust mipa array processor,markov dependence,data collection,relative efficiency | Discrete mathematics,Array processing,Markov process,Detection theory,Markov model,Markov chain,Algorithm,Sampling (statistics),Vector processor,Bivariate analysis,Statistics,Mathematics | Journal |
Volume | Issue | ISSN |
85 | 1-3 | 0020-0255 |
Citations | PageRank | References |
1 | 0.39 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed Ketel | 1 | 13 | 6.84 |
| Ludwik Kurz | 2 | 109 | 25.00 |