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Improved differential coefficients-based low power FIR filters. Part I. Fundamentals

机译:改进的基于差分系数的低功耗FIR滤波器。第一部分。基础知识

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This paper and its companion paper (entitled Part II - algorithm) together present techniques for low power realization of finite impulse response (FIR) filters using improved differential coefficients method (DCM). This paper presents the necessary foundation and terminology of the DCM. The companion paper describes our algorithm and presents design examples. In contrast to the conventional DCM that is formulated at the algorithm-level, our method is formulated at the architecture-level using dedicated shift-and-add-based coefficient multipliers in order to achieve considerable hardware reduction. By employing a differential coefficient-partitioning algorithm (DCPA), we show that the number of full adders and the net memory needed to implement the coefficient multipliers can be significantly reduced. The proposed method is combined with common subexpression elimination method for further reduction of complexity. Experimental results show the average reductions of full adder, memory and energy dissipated achieved by our method over the DCM are 40%, 35% and 50% respectively.
机译:本文及其伴随纸张(题为II算法)在一起使用改进的差分系数方法(DCM)的有限脉冲响应(FIR)滤波器的低功率实现技术。本文介绍了DCM的必要基础和术语。 Companion纸张介绍了我们的算法和呈现设计示例。与以算法级别配制的传统DCM相比,我们的方法在架构级别使用基于专用的移位和添加的系数乘法器在架构级别中配制,以实现相当大的硬件减少。通过采用差分系数分区算法(DCPA),我们示出了可以显着减少实现系数乘法器所需的完整添加剂和网络存储器的数量。所提出的方法与常见的子表达消除方法组合,以进一步降低复杂性。实验结果表明,通过我们的方法通过DCM实现的全加法器,记忆和能量消散的平均降低分别为40%,35%和50%。

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