Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
DOI	10.1007/978-3-319-91734-4_29
Edición del Libro
Editorial del Libro
ISBN	978-3-319-91733-7
Serie
Título del Libro	Handbook of Signal Processing Systems
Desde página	1063
Hasta página	1101

Esta actividad pertenece a memorias de investigación

• Autor: Daniel Menard (Université de Rennes)
• Autor: Gabriel Caffarena Fernández (Universidad San Pablo CEU)
• Autor: Juan Antonio Lopez Martin (UPM)
• Autor: David Novo (Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier)
• Autor: Olivier Sentieys (Inria Rennes)

• Creador: Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
• Departamento: Ingeniería Electrónica