Iterative Synchronization: EM Algorithm Versus Newton-Raphson Method

Author

Herzet, C. ; Wautelet, X. ; Ramon, V. ; Vandendorpe, L.

Author_Institution

Commun. Lab., Univ. Catholique de Louvain, Louvain-la-Nueve

Volume

4

fYear

2006

fDate

14-19 May 2006

Abstract

This paper deals with iterative maximum-likelihood synchronization of a scalar parameter. An efficient implementation of the Newton-Raphson (NR) maximum-search method is proposed. Considering the latter implementation, the NR approach is shown to be an attractive alternative to synchronization methods based on the expectation-maximization (EM) algorithm. Simulation results for the case of phase-offset synchronization show that NR method usually increases the speed of convergence of the synchronization algorithm

Keywords

Newton-Raphson method; expectation-maximisation algorithm; signal processing; synchronisation; EM algorithm; Newton-Raphson maximum-search method; expectation-maximization algorithm; iterative maximum-likelihood synchronization; phase-offset synchronization; scalar parameter; Convergence; Expectation-maximization algorithms; Iterative algorithms; Iterative methods; Laboratories; Maximum likelihood estimation; Newton method; Parameter estimation; Signal to noise ratio; Sum product algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660988

Filename

1660988