Sparse LMS/F algorithms with application to adaptive system identification

Publisher： John Wiley & Sons Inc

E-ISSN： 1530-8677|15|12|1649-1658

ISSN： 1530-8669

Source： WIRELESS COMMUNICATIONS & MOBILE COMPUTING (ELECTRONIC), Vol.15, Iss.12, 2015-08, pp. : 1649-1658

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

Normalized least mean square‐based adaptive sparse filtering algorithms for estimating multiple‐input multiple‐output channels

By  

WIRELESS COMMUNICATIONS & MOBILE COMPUTING (ELECTRONIC), Vol. 15, Iss. 6, 2015-04 ,pp. : 1079-1088

John Wiley & Sons Inc

Access to resources Recommend Favorite

Zero‐attracting variable‐step‐size least mean square algorithms for adaptive sparse channel estimation

By  

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, Vol. 29, Iss. 9, 2015-09 ,pp. : 1189-1206

John Wiley & Sons Inc

Access to resources Recommend Favorite

Deterministic sparse FFT algorithms

By  

PROCEEDINGS IN APPLIED MATHEMATICS & MECHANICS (ELECTRONIC), Vol. 15, Iss. 1, 2015-10 ,pp. : 667-668

John Wiley & Sons Inc

Access to resources Recommend Favorite

Fuzzy system identification using an adaptive learning rule with terminal attractors

By Lin C.-K.   Wang S.-D.  

Fuzzy Sets and Systems, Vol. 101, Iss. 3, 1999-02 ,pp. : 343-352

Elsevier

Access to resources Recommend Favorite

DNA algorithms for fractal construction - an application of the SInsDelP system

By  

International Journal of Computer Mathematics, Vol. 84, Iss. 4, 2007-04 ,pp. : 437-450

Taylor & Francis Ltd

Access to resources Recommend Favorite