Memorias de investigación
Communications at congresses:
Acceleration of Monte-Carlo Simulation-based Quantization of DSP Systems
Year:2012

Research Areas
  • Design of digital integrated circuits,
  • Processing and signal analysis

Information
Abstract
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.
International
Si
Congress
International Conference on Systems, Signals and Image Processing, IWSSIP'12
960
Place
Viena (austria)
Reviewers
Si
ISBN/ISSN
978-1-4577-2191-5
Start Date
11/04/2012
End Date
13/04/2012
From page
189
To page
192
Proceedings of the Int. Conf. on Systems, Signals and Image Processing
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica