Performance Research on Multi-Target Detection in Different Noisy Environments

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuhong Yin, Qian Jia, Huiqi Xu, Guanglei Fu
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2024-11-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
multi-target detection
diagonal amendatory
noise estimator
information theoretic criteria
Online Access:https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31710
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items