A novel Farrow Structure with reduced complexity

M. Hunter, W. Mikhael
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引用次数: 4

Abstract

The Farrow Structure (FS) has become a standard for implementing polynomial-based interpolation filters. Several improvements have been made to enhance the performance and efficiency of the original structure. New structures have evolved from these developments. These new structures include the Modified Farrow Structure (MFS) and the Generalized Farrow Structure (GFS). The MFS takes advantage of linear phase, requiring approximately half the number of multiplications of the FS. The GFS employs oversampling to simplify the polynomial-based filter. In this contribution a novel Farrow Structure is derived. The new structure is termed the Generalized Modified Farrow Structure (GMFS). Also introduced is a special case of the GMFS, namely, the Dual Phase Modified Farrow Structure (DPMFS). It is shown that the DPMFS combines the advantages of both the GFS and MFS providing greater performance at reduced implementation cost.
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一种降低复杂度的新颖的Farrow结构
法罗结构(FS)已成为实现基于多项式的插值滤波器的标准。为了提高原结构的性能和效率,进行了几项改进。从这些发展中产生了新的结构。这些新结构包括改进的Farrow结构(MFS)和广义的Farrow结构(GFS)。MFS利用线性相位,所需的乘法次数大约是FS的一半。GFS采用过采样来简化基于多项式的滤波器。在这个贡献中,一个新颖的法罗结构被推导出来。这种新结构被称为广义改良法结构(GMFS)。还介绍了GMFS的一种特殊情况,即双相修改的Farrow结构(DPMFS)。结果表明,DPMFS结合了GFS和MFS的优点,以更低的实现成本提供了更高的性能。
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