| Autor: |
Pahalson, Cornelius A. H., Crockett, Louise H., Weiss, Stephan |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
IEEE High Performance Extreme Computing Conference, Waltham, MA, September 2024 |
| Druh dokumentu: |
Working Paper |
| Popis: |
This paper investigates the performance of a likelihood ratio test in combination with a polynomial subspace projection approach to detect weak transient signals in broadband array data. Based on previous empirical evidence that a likelihood ratio test is advantageously applied in a lower-dimensional subspace, we present analysis that highlights how the polynomial subspace projection whitens a crucial part of the signals, enabling a detector to operate with a shortened temporal window. This reduction in temporal correlation, together with a spatial compaction of the data, also leads to both computational and numerical advantages over a likelihood ratio test that is directly applied to the array data. The results of our analysis are illustrated by examples and simulations. |
| Databáze: |
arXiv |
| Externí odkaz: |
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