Name
Abstract | ||
|---|---|---|
The problem of detection in the presence of a slowly varying not necessarily Gaussian noise is treated in this paper by introducing the generalized Linear tests and the generalized quantiles test statistic T*(i). Detectors based on these tests combine the good qualities of order and partition statistics, i.e., increased efficiency and ease of implementation. Using an array of M sensors, the T*(i) statistic, which combines the power of rank tests, and the robustness of partition tests, is extended to its multivariate counterpart, and its performance is evaluated for small signal-to-noise-ratio environments. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/0020-0255(95)00301-0 | Inf. Sci. |
Keywords | Field | DocType |
generalized quantile array processing,signal to noise ratio,gaussian noise | Discrete mathematics,Array processing,Test statistic,Statistic,Signal-to-noise ratio,Generalized linear array model,Algorithm,Robustness (computer science),Quantile,Statistics,Gaussian noise,Mathematics | Journal |
Volume | Issue | ISSN |
91 | 1-2 | 0020-0255 |
Citations | PageRank | References |
1 | 0.38 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed Ketel | 1 | 13 | 6.84 |
| Ludwik Kurz | 2 | 109 | 25.00 |