doi: 10.7763/IJCTE.2014.V6.825
A 2-D Second-Order Recursive Inverse Adaptive Filtering Algorithm
Mohammad Shukri Salman1
,
Aykut Hocanin2 ,
Osman Kukrer2
- 1department of Electrical & Electronic Engineering, Mevlana (Rumi) University, Selcuklu, Konya, Turkey.
- 2department of Electrical & Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, via Mersin 10, Turkey.
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.
Keywords
- 2-D RLS
- adaptive filters
- ALE
How to 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. https://doi.org/10.7763/IJCTE.2014.V6.825
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).