Abstract
In this paper, a 2-D form of the recently proposed recursive inverse (RI) adaptive algorithm is introduced. The filter coefficients can be updated along both the horizontal and vertical directions on a 2-D plane. The proposed approach uses a variable step size and avoids the use of the inverse autocorrelation matrix in the coefficient update equation, which leads to an improved and more stable performance. Performance of the 2-D RI algorithm is compared to that of the 2-D RLS algorithm in an image deconvolution and an adaptive line enhancer problem settings. The simulation results show that the proposed 2-D RI algorithm leads to an improved performance compared to that of the 2-D RLS algorithm.
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Ahmad, M.S., Kukrer, O. & Hocanin, A. A 2-D recursive inverse adaptive algorithm. SIViP 7, 221–226 (2013). https://doi.org/10.1007/s11760-011-0218-8
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DOI: https://doi.org/10.1007/s11760-011-0218-8