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A Tutorial on Multiplierless Design of FIR Filters: Algorithms and Architectures

机译:FIR滤波器的无乘法器设计教程:算法和体系结构

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Finite impulse response (FIR) filtering is a ubiquitous operation in digital signal processing systems and is generally implemented in full custom circuits due to high-speed and low-power design requirements. The complexity of an FIR filter is dominated by the multiplication of a large number of filter coefficients by the filter input or its time-shifted versions. Over the years, many high-level synthesis algorithms and filter architectures have been introduced in order to design FIR filters efficiently. This article reviews how constant multiplications can be designed using shifts and adders/subtractors that are maximally shared through a high-level synthesis algorithm based on some optimization criteria. It also presents different forms of FIR filters, namely, direct, transposed, and hybrid and shows how constant multiplications in each filter form can be realized under a shift-adds architecture. More importantly, it explores the impact of the multiplierless realization of each filter form on area, delay, and power dissipation of both custom (ASIC) and reconfigurable (FPGA) circuits by carrying out experiments with different bitwidths of filter input, design libraries, reconfigurable target devices, and optimization criteria in high-level synthesis algorithms.
机译:有限脉冲响应(FIR)滤波是数字信号处理系统中普遍存在的操作,由于高速和低功耗设计要求,通常在完全定制的电路中实现。 FIR滤波器的复杂性由滤波器输入或其时移形式乘以大量滤波器系数所决定。多年来,为了高效设计FIR滤波器,引入了许多高级合成算法和滤波器体系结构。本文回顾了如何使用移位和加法器/减法器设计常数乘法,这些移位和加法器/减法器通过基于某些优化标准的高级综合算法来最大程度地共享。它还介绍了FIR滤波器的不同形式,即直接,转置和混合,并说明了如何在移位加法架构下实现每种滤波器形式的恒定乘法。更重要的是,它通过对滤波器输入,设计库,可重构的不同位宽进行实验,探索了每种滤波器形式的无乘法实现对定制(ASIC)和可重构(FPGA)电路的面积,延迟和功耗的影响。目标设备以及高级综合算法中的优化标准。

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