Performance Research on Multi-Target Detection in Different Noisy Environments
This paper studies five classic multi-target detection methods in different noisy environments, including Akaike information criterion, ration criterion, Rissanen's minimum description length, Gerschgorin disk estimator and Eigen-increment threshold methods. Theoretical and statistical analyses...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Ediciones Universidad de Salamanca
2024-11-01
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Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
Subjects: | |
Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31710 |
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