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A new two-dimensional block least mean squares adaptive algorithm

机译:一种新的二维块最小均值正方形自适应算法

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In this paper, a new 2-D block LMS algorithm is presented. This algorithm, which is an exact mathematical formulation of classical 2-D LMS algorithms, presents the advantage of preserving a good convergence as the block size increases. The reduction in the computational complexity is achieved by exploiting the redundancy between successive computations, rather than using disjoint or partially overlapping windows. The latter are known to degrade the convergence when the block size is large.
机译:本文提出了一种新的2-D块LMS算法。该算法是经典二维LMS算法的精确数学制定,呈现了随着块尺寸增加而保留良好收敛的优点。通过利用连续计算之间的冗余来实现计算复杂性的减少,而不是使用不相交或部分重叠的窗口来实现。已知后者在块尺寸大时降解收敛。

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