Analysis of Finite Word-Length Effects in Fixed-Point Systems - Archive ouverte HAL Access content directly
Book Sections Year : 2019

Analysis of Finite Word-Length Effects in Fixed-Point Systems

(1) , (2) , (3) , (4) , (5)
1
2
3
4
5

Abstract

Systems based on fixed-point arithmetic, when carefully designed, seem to behave as their infinite precision analogues. Most often, however, this is only a macroscopic impression: finite word-lengths inevitably approximate the reference behavior introducing quantization errors, and confine the macroscopic correspondence to a restricted range of input values. Understanding these differences is crucial to design optimized fixed-point implementations that will behave “as expected” upon deployment. Thus, in this chapter, we survey the main approaches proposed in literature to model the impact of finite precision in fixed-point systems. In particular, we focus on the rounding errors introduced after reducing the number of least significant bits in signals and coefficients during the so-called quantization process.
Fichier principal
Vignette du fichier
Analysis of Finite Word-Length Effects in Fixed-Point Systems.pdf (401.72 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01941888 , version 1 (04-02-2019)

Identifiers

Cite

Daniel Ménard, Gabriel Caffarena, Juan Antonio Lopez, David Novo, Olivier Sentieys. Analysis of Finite Word-Length Effects in Fixed-Point Systems. Shuvra S. Bhattacharyya. Handbook of Signal Processing Systems, pp.1063-1101, 2019, 978-3-319-91733-7. ⟨10.1007/978-3-319-91734-4_29⟩. ⟨hal-01941888⟩
358 View
1514 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More