Observatorio de I+D+i UPM

Descripción
Simulation-based methods are the most common approach to estimate the quantization noise of fixed-point implementations of Digital Signal Processing (DSP) systems. But as systems grow in complexity, solving the wordlength optimization problem using this approach leads to unaffordable execution times. Thus, it is necessary to develop new strategies that allow to obtain optimized solutions in reasonable times. In this paper, a new simulation-based technique based on the relaxation of the confidence requirements of the simulations in some stages of the evaluation is presented. Experimental results show that this process provides optimized results between 2 and 120 times faster than traditional methods with no penalty on the quality of the solutions.
Internacional	Si
Nombre congreso	International Conference on Systems, Signals and Image Processing, IWSSIP'12
Tipo de participación	960
Lugar del congreso	Viena (austria)
Revisores	Si
ISBN o ISSN	978-1-4577-2191-5
DOI
Fecha inicio congreso	11/04/2012
Fecha fin congreso	13/04/2012
Desde la página	189
Hasta la página	192
Título de las actas	Proceedings of the Int. Conf. on Systems, Signals and Image Processing

Esta actividad pertenece a memorias de investigación

• Autor: Enrique Sedano Algarabel (Universidad Politécnica de Madrid)
• Autor: Juan Antonio Lopez Martin (UPM)
• Autor: Carlos Carreras Vaquer (UPM)

• Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
• Departamento: Ingeniería Electrónica