Automatic evaluation of the accuracy of fixed-point algorithms

Daniel Menard 1, 2 Olivier Sentieys 2
2 R2D2 - Reconfigurable and Retargetable Digital Devices
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes, ENSSAT - École Nationale Supérieure des Sciences Appliquées et de Technologie
Abstract : The minimization of cost, power consumption and time-to-market of DSP applications requires the development of methodologies for the automatic implementation of floating-point algorithms in fixed-point architectures. In this paper a new methodology for evaluating the quality of an implementation through the automatic determination of the Signal to Quantization Noise Ratio (SQNR) is under consideration. The theoretical concepts and the different phases of the methodology are explained. Then, the ability of our approach for computing the SQNR efficiently and its beneficial contribution in the process of data word-length minimization are shown through some example
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https://hal.inria.fr/inria-00482931
Contributor : Daniel Menard <>
Submitted on : Wednesday, May 12, 2010 - 7:09:50 AM
Last modification on : Friday, November 16, 2018 - 1:24:07 AM

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  • HAL Id : inria-00482931, version 1

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Daniel Menard, Olivier Sentieys. Automatic evaluation of the accuracy of fixed-point algorithms. Design, Automation and Test in Europe Conference and Exhibition, Mar 2002, Paris, France. ⟨inria-00482931⟩

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