INVESTIGADORES
CASTIÑEIRA MOREIRA Jorge
artículos
Título:
Impulsive Noise Estimator with Minimization Methods (INEMM) on Software
Autor/es:
RABIOGLIO, L.; CEBEDIO, M. C.; ARNONE, L. J.; DE MICCO, L.; CASTIÑEIRA MOREIRA, J.
Revista:
IEEE Embedded Systems Letters
Editorial:
Institute of Electrical and Electronics Engineers Inc.
Referencias:
Año: 2024
ISSN:
1943-0663
Resumen:
This paper introduces the design of an estimatorfor parameters of Middleton Class A noise using its canonicalformula and classical numerical methods. The main focus is toacquire parameters to characterize communication channels inintelligent systems or those based on cognitive paradigms.A comprehensive analysis of the first-order characteristics ofthe Middleton Class A noise model is conducted to establish thefoundational understanding necessary for developing the presented estimator model, named Impulsive Noise Estimator withMinimization Methods (INEMM). Subsequently, the method isintroduced, substantiated, and compared to various establishedestimators concerning precision and complexity. Results showa distinct advantage in terms of overall performance.
