结合系统级冗余和模块化算法的容错数字信号处理

W. Jenkins, B. Schnaufer, A. Mansen
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引用次数: 10

摘要

本文提出将系统级模块化冗余与残数系统(RNS)算法的算术模块化相结合,实现高速数字信号处理(DSP)系统的容错。将双、三、四重模块冗余与RNS模块化相结合,实现重要的DSP计算内核。讨论包括串行模数(SBM) RNS架构的发展,其中在电路中顺序处理残数,在给定时间内只处理一个模块操作,从而牺牲电路简单性的速度。作为SBM概念的潜在应用,基于串行-模RNS架构开发了变字长积和信号处理内核。由于RNS不是加权数字表示,如果可以估计瞬时动态范围要求,则可能只使用足够的剩余数字来执行计算以提供必要的动态范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined system-level redundancy and modular arithmetic for fault tolerant digital signal processing
This paper proposes combining system-level modular redundancy with the arithmetic modularity of residue number system (RNS) arithmetic to achieve fault tolerance in high speed digital signal processing (DSP) systems. Double, triple, and quadruple modular redundancy are combined with RNS modularity for realizing important DSP computational kernels. The discussion includes the development of the serial-by-modulus (SBM) RNS architecture in which residue digits are processed sequentially in circuits that handle only one modular operation at a given time, thereby sacrificing speed for circuit simplicity. As a potential application of the SBM concept, a variable-word-length sum-of-products signal processing kernel is developed based on a serial-by-modulus RNS architecture. Because the RNS is not a weighted number representation, if the instantaneous dynamic range requirement can be estimated it may be possible to perform the computation with only enough residue digits to provide the necessary dynamic range.<>
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