49167

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

The Anisotropic Norm of Random Vectors: Defining via a Symmetric Tsallis Divergence

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-5386-7698-1

DOI: 

10.1109/CCTA.2018.8511588

Наименование конференции: 

  • 2018 IEEE Conference on Control Technology and Applications (CCTA)

Наименование источника: 

  • Proceedings of 2018 IEEE Conference on Control Technology and Applications (CCTA)

Обозначение и номер тома: 

Vol. 1

Город: 

  • Piscataway, USA

Издательство: 

  • IEEE

Год издания: 

2018

Страницы: 

970-975
Аннотация
An alternative approach to define the anisotropic norm of random vectors is proposed, based on a symmetric Tsallis divergence measure constructed within the present paper. The consideration is motivated by a definition available in the literature, which is based on Kullback-Leibler divergence and, thus, being non-symmetric, what, at least from a theoretical point of view, stimulates to consider some other possibilities in this field.

Библиографическая ссылка: 

Чернышев К.Р. The Anisotropic Norm of Random Vectors: Defining via a Symmetric Tsallis Divergence / Proceedings of 2018 IEEE Conference on Control Technology and Applications (CCTA). Piscataway, USA: IEEE, 2018. Vol. 1. С. 970-975.