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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(1): 1-3 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.825

A 2-D Second-Order Recursive Inverse Adaptive Filtering Algorithm

Mohammad Shukri Salman, Aykut Hocanin, and Osman Kukrer
Abstract—In this paper, a two-dimensional (2-D) version of the recently proposed second order Recursive Inverse (2nd order RI) algorithm is introduced. In the proposed algorithm, instead of estimating the inverse autocorrelation matrix, a second order estimate of the autocorrelation matrix and cross correlation vector, which provide an improved and a more stable performance, are used. Also, the filter coefficients are updated along both the horizontal and vertical directions on a 2-D plane. The performance of the proposed algorithm is compared to that of the 2-D RLS algorithm in Adaptive Line Enhancer (ALE) problem. Simulation results show that the proposed algorithm leads to an improved performance compared to that of the 2-D RLS algorithm.

Index Terms—2-D RLS, adaptive filters, ALE.

M. S. Salman is with the department of Electrical & Electronic Engineering, Mevlana (Rumi) University, Selcuklu, Konya, Turkey (e-mail: mssalman@mevlana.edu.tr).
A. Hocanin and O. Kukrer are with the department of Electrical & Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, via Mersin 10, Turkey (e-mail: aykut.hocanin@emu.edu.tr, osman.kukrer@emu.edu.tr).

[PDF]

Cite:Mohammad Shukri Salman, Aykut Hocanin, and Osman Kukrer, "A 2-D Second-Order Recursive Inverse Adaptive Filtering Algorithm," International Journal of Computer Theory and Engineering vol. 6, no. 1, pp. 1-3, 2014.

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