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pro vyhledávání: '"Irfan Lateef"'
Autor:
Irfan Lateef, Ali N. Akansu
Publikováno v:
IET Communications, Vol 15, Iss 15, Pp 1997-2006 (2021)
Abstract This paper emphasizes the joint time‐frequency interpretation of eigensubspace representation for network statistics as features for identification and tracking traffic flows based on the link level activity. Eigencoefficients (frequency d
Externí odkaz:
https://doaj.org/article/40166ef281e249159e774519efcf7988
Autor:
Ali N. Akansu, Irfan Lateef
Publikováno v:
IET Communications, Vol 15, Iss 15, Pp 1997-2006 (2021)
This paper emphasizes the joint time‐frequency interpretation of eigensubspace representation for network statistics as features for identification and tracking traffic flows based on the link level activity. Eigencoefficients (frequency domain fea
Autor:
Irfan Lateef, Ali N. Akansu
Publikováno v:
CISS
This paper presents a novel approach to interpret eigenanalysis of network statistics at the link level in order to identify traffic flows efficiently. It jointly uses and interprets eigencoefficients (frequency) and components of eigenvectors (time)
Autor:
Manzoor, Ahmad Malik, Afifa, Shaheen Kamili, Ghulam, Nabi Malik, Abdul, Majeed Sofi, Irfan, Lateef Khan, Nisar, Ahmad Ganie, Firdous, Ahmad Malik, Awquib, Sabhat, Syed, Farhat Iqbal Qadri
Publikováno v:
Advanced Materials Research; January 2011, Vol. 175 Issue: 1 p41-45, 5p