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Proceedings ArticleDOI

A constrained two-dimensional adaptive digital filter with reduced computational complexity

TLDR
In this paper, an adaptive 2D digital filter is presented in which the filter is determined by a 1-D FIR (finite-impulse-response) prototype filter, and hence the computational complexity of the coefficient-update algorithm has an order of complexity that is similar to a 1D adaptive filter.
Abstract
An adaptive 2-D digital filter is presented in which the filter is determined by a 1-D FIR (finite-impulse-response) prototype filter, and hence the computational complexity of the coefficient-update algorithm has an order of complexity that is similar to a 1-D adaptive filter. The convergence rate of the proposed structure is much faster than that of a direct-form 2-D LMS (least-mean-square) filter. Results of the hardware realization of the filter are presented that show its learning curve to be considerably less noisy than that of the 2-D direct-form LMS filter. >

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Citations
More filters
Journal ArticleDOI

Two-dimensional LMS adaptive filters

TL;DR: A novel two-dimensional least mean square (2-D LMS) algorithm is proposed that can converge along both the horizontal and vertical directions of a 2-D plane and it is shown that this algorithm does not cause any degradations due to anisotropic processing.
Proceedings ArticleDOI

Two-dimensional block adaptive filtering algorithms

TL;DR: It is shown that the TDOBA clearly outperforms the TDBLMS algorithm with respect to convergence speed and accuracy of adaptation.
Journal ArticleDOI

A 2-D recursive inverse adaptive algorithm

TL;DR: A 2-D form of the recently proposed recursive inverse (RI) adaptive algorithm that uses a variable step size and avoids the use of the inverse autocorrelation matrix in the coefficient update equation leads to an improved and more stable performance.
Journal ArticleDOI

Two-dimensional adaptive filtering based on projection algorithm

TL;DR: This paper proposes a two-dimensional (2-D) projection algorithm by which filter coefficients can be updated both along the horizontal and the vertical directions on a 2-D plane and achieves good performance for both horizontal and vertical directions.
Journal ArticleDOI

Adaptive McClellan transformations for quincunx filter banks

TL;DR: A particular two-parameter transformation function is developed that has sufficient flexibility to adapt its orientation in any direction and whose optimization involves a simple constrained least-squares problem in which the feasible set lies within a circle.
References
More filters
Journal ArticleDOI

McClellan transformations for two-dimensional digital filtering-Part I: Design

TL;DR: In this article, the design of two-dimensional linear-phase FIR digital filters by transformations of one-dimensional (l-D) filters was discussed, using a technique first presented by McClellan.
Journal ArticleDOI

A 2-D FIR filter structure derived from the Chebyshev recursion

TL;DR: In this paper, a new structure is proposed for the implementation of 2-D FIR digital filters designed by transformations of 1-D filters, which requires a minimum number of multiplications and uses directly as coefficients the impulse response samples of the original filter.