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pro vyhledávání: '"Raffaello Claser"'
Autor:
Vitor H. Nascimento, Raffaello Claser
Publikováno v:
IEEE Transactions on Signal Processing. 69:3104-3116
Combinations of adaptive filters have attracted attention as a simple solution to improve filter performance, including tracking properties. In this paper, we consider combinations of LMS and RLS filters, and study their performance for tracking time
Autor:
Raffaello Claser
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Adaptive filters are usually employed in situations where the environment is constantly changing, so that a fixed system would not have adequate performance to optimally perform the desired task. Examples include channel equalization, data prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aee22db9aa10c66329a2507628c714e
Autor:
Raffaello Claser, Vitor H. Nascimento
Publikováno v:
EUSIPCO
It is known that combinations of the least mean square (LMS) and recursive least squares (RLS) algorithms may achieve a performance in tracking better than what is possible to obtain with either kind of filter individually. In this paper, we consider
Publikováno v:
EUSIPCO
Adaptive filters for Volterra system identification must deal with two difficulties: large filter length M (resulting in high computational complexity and low convergence rate) and high correlation in the input sequence. The second problem is minimiz
Autor:
Ivandro Sanches, Raffaello Claser
Publikováno v:
Anais de XXX Simpósio Brasileiro de Telecomunicações.
Publikováno v:
2016 24th European Signal Processing Conference (EUSIPCO); 2016, p6-10, 5p
Publikováno v:
2016 24th European Signal Processing Conference (EUSIPCO); 2016, p1-40, 40p