基于最小符号数字表示的数字滤波器合成

I. Park, Hyeong-Ju Kang
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引用次数: 137

摘要

由于数字滤波器的复杂度主要由乘法次数决定,因此许多工作都集中在最小化计算滤波器中所需的常系数乘法的乘法器块的复杂度上。使用高效的数字系统可以显著降低乘法器块的复杂性。尽管规范符号数表示通常用于保证常数乘法的最小加法数,但本文提出了一种基于最小符号数(MSD)表示的数字滤波器合成算法。MSD表示很有吸引力,因为它提供了许多形式,这些形式具有常量的最小非零位数。如果为每个常数选择适当的MSD表示,这种冗余可以导致有效的过滤器。实验结果表明,该算法的滤波效果优于基于CSD表示的滤波效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital filter synthesis based on minimal signed digit representation
As the complexity of digital filters is dominated by the number of multiplications, many works have focused on minimizing the complexity of multiplier blocks that compute the constant coefficient multiplications required in filters. The complexity of multiplier blocks can be significantly reduced by using an efficient number system. Although the canonical signed digit representation is commonly used as it guarantees the minimal number of additions for a constant multiplication, we propose in this paper a digital filter synthesis algorithm that is based on the minimal signed digit (MSD) representation. The MSD representation is attractive because it provides a number of forms that have the minimal number of non-zero digits for a constant. This redundancy can lead to efficient filters if a proper MSD representation is selected for each constant. In experimental results, the proposed algorithm resulted in superior filters to those generated from the CSD representation.
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