Blind identification of non-linear quadratic systems using higher order cumulants and non-Gaussian input signals

ISSN： 0308-1079

Source： International Journal of General Systems, Vol.37, Iss.5, 2008-10, pp. : 585-602

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Higher-Order Asymptotics of Mutual Information for Nonlinear Channels with Non-Gaussian Noise

By Prelov V. V. van der Meulen E. C.

Problems of Information Transmission, Vol. 39, Iss. 4, 2003-10 ,pp. : 324-340

MAIK Nauka/Interperiodica

Access to resources Recommend Favorite

Learning linear non-Gaussian networks: A new view from matrix identification

By Feng Dingcheng Chen Feng Xu Wenli

Journal of Experimental & Theoretical Artificial Intelligence, Vol. 25, Iss. 2, 2013-06 ,pp. : 251-271

Taylor & Francis Ltd

Access to resources Recommend Favorite

Identification of non-linear hysteretic systems with slip

By Li S.J. Yu H. Suzuki Y.

Computers and Structures, Vol. 82, Iss. 2, 2004-01 ,pp. : 157-165

Elsevier

Access to resources Recommend Favorite

Hybrid optimal filtering for linear continuous-time Markovian jump systems with non-Gaussian noises by MPT approach

By Nakura Gou

International Journal of Advanced Mechatronic Systems, Vol. 5, Iss. 1, 2013-07 ,pp. : 59-68

Inderscience Publishers

Access to resources Recommend Favorite

Higher-Order Gauss–Lobatto Integration for Non-Linear Hyperbolic Equations

By Maerschalck Bart Gerritsma Marc

Journal of Scientific Computing, Vol. 27, Iss. 1-3, 2006-06 ,pp. : 201-214

Springer Publishing Company

Access to resources Recommend Favorite