Diffusion adaptive networks with changing topologies

Author

Lopes, Cassio G. ; Sayed, Ali H.

Author_Institution

Dept. of Electr. Eng., Univ. of California at Los Angeles, Los Angeles, CA

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

3285

Lastpage

3288

Abstract

Adaptive networks (AN) have been recently proposed to address distributed estimation problems [1]-[4]. Here we extend prior work to changing topologies and data-normalized algorithms. The resulting framework may also treat signals with general distributions, rather than Gaussian, provided that certain data statistical moments are known. A byproduct of this formulation is a probabilistic diffusion adaptive network: a simpler yet robust variant of the standard diffusion algorithm [2].

Keywords

adaptive estimation; adaptive signal processing; telecommunication network topology; data-normalized algorithms; distributed estimation problem; network topologies; probabilistic diffusion adaptive networks; statistical moments; Adaptive filters; Adaptive systems; Cooperative systems; Diversity reception; Least squares approximation; Network topology; Protocols; Robustness; Signal analysis; Vectors; Adaptive filters; adaptive networks; cooperative systems; diffusion; distributed adaptive filters; distributed estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518352

Filename

4518352