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Signal Processing in a Nonlinear, NonGaussian, and...
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Signal Processing in a Nonlinear, NonGaussian, and Nonstationary World

Abstract

This article discusses three specific issues of particular interest in the study of nonlinear dynamical systems: Bayesian estimation, exemplified by particle filtering;Learning in recurrent neural networks;Correlative learning, exemplified by the ALOPEX algorithm. By and large, the discussion is of a philosophical nature.

Authors

Haykin S

Series

Lecture Notes in Computer Science

Volume

3445

Pagination

pp. 43-53

Publisher

Springer Nature

Publication Date

January 1, 2005

DOI

10.1007/11520153_3

Conference proceedings

Lecture Notes in Computer Science

ISSN

0302-9743
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