Realization of 2-D linear-phase FIR filters based on the singular-value decomposition

Weiping Zhu, M. Ahmad, M. Swamy
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引用次数: 1

Abstract

In this paper, the singular-value decomposition (SVD) technique is investigated for the realization of 2-D linear-phase FIR filters with arbitrary magnitude responses. A parallel realization structure consisting of a number of 1-D FIR filters is obtained by applying the SVD to the impulse response of a 2-D filter. By using the symmetry property of the 2-D impulse response and by developing an appropriate unitary transform, a singular-value decomposition with symmetric and skew-symmetric singular vectors is obtained so that the constituent 1-D filters have linear-phase characteristics. It is shown that the number of parallel sections can be reduced significantly by neglecting the smaller singular values without introducing a large error in the magnitude response of the simplified 2-D filter.
基于奇异值分解的二维线性相位FIR滤波器的实现
本文研究了用奇异值分解(SVD)技术实现任意幅值响应的二维线性相位FIR滤波器。通过对二维滤波器的脉冲响应进行奇异值分解,得到了由多个一维FIR滤波器组成的并行实现结构。利用二维脉冲响应的对称性,通过适当的酉变换,得到了对称和偏对称奇异向量的奇异值分解,使组成的一维滤波器具有线性相位特性。结果表明,通过忽略较小的奇异值可以显著减少平行截面的数量,而不会在简化的二维滤波器的幅度响应中引入较大的误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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