Fixed-point refinement of digital signal processing systems

Abstract : 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.
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Contributor : Olivier Sentieys <>
Submitted on : Monday, February 4, 2019 - 1:45:16 PM
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  • HAL Id : hal-01941898, version 1


Daniel Menard, Gabriel Caffarena, Juan Antonio Lopez, David Novo, Olivier Sentieys. Fixed-point refinement of digital signal processing systems. Digitally Enhanced Mixed Signal Systems, The Institution of Engineering and Technology, pp.1-37, 2019, 978-1-78561-609-9. ⟨hal-01941898⟩



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