Fixed-point refinement of digital signal processing systems
Fixed-point refinement of digital signal processing systems
复制标题
数字信号处理系统的定点细化
DOI：
10.1049/pbcs040e_ch8
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
O. Sentieys
中科院分区：
文献类型：
--
作者：
D. Ménard;G. Caffarena;Juan A. López;D. Novo;O. Sentieys
对于混合信号系统的数字信号处理（DSP）部分，定点算法由于其在实现成本（即能耗、面积和延迟）方面的高效率而受到青睐。定点算法提供了低成本的运营商在理想的精度值和有限精度值之间的不可避免的误差为代价。通过仔细的数据字长优化过程，设计人员可以安全地从实现成本和计算精度之间的固有权衡中获益。在本章中，我们详细描述了构成定点转换过程的不同阶段（即，动态范围评估、字长优化和精度评估），并提出解决每个阶段的实用解决方案。
For the digital signal processing (DSP) part of mixed-signal systems, fixed-point arithmetic is favoured due to its high efficiency in terms of implementation cost, namely energy consumption, area, and latency. Fixed-point arithmetic provides low-cost operators at the expense of an unavoidable error between the ideal precision values and the finite precision ones. With a careful data word-length optimisation process, the designer can safely profit from the inherent trade-off between implementation cost and computation accuracy. In this chapter, we describe in detail the different stages comprising the fixed-point conversion process (i.e., dynamic range evaluation, word-length optimisation, and accuracy evaluation) and propose practical solutions to address each stage.