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Convergence of an iterative time-variant filtering based on discrete Gabor transform

机译:基于离散Gabor变换的迭代时变滤波的收敛性

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摘要

An iterative time-variant filtering based on the discrete Gabor transform (DGT) has been previously proposed by the authors. In this article, we present a proof of the convergence of the iterative algorithm under a sufficient condition on the analysis and synthesis window functions of the DGT. In the meantime, we show that the iterative algorithm refines the least squares solution.
机译:作者先前已经提出了基于离散Gabor变换(DGT)的迭代时变滤波。在本文中,我们提供了在DGT的分析和综合窗口函数充分条件下迭代算法收敛的证明。同时,我们证明了迭代算法可以改进最小二乘解。

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