Copyright © 2008 D. Menard et al. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Most of digital signal processing applications are specified and designed with floatingpoint
arithmetic but are finally implemented using fixed-point architectures. Thus, the
design flow requires a floating-point to fixed-point conversion stage which optimizes the
implementation cost under execution time and accuracy constraints. This accuracy constraint
is linked to the application performances and the determination of this constraint
is one of the key issues of the conversion process. In this paper, a method is proposed
to determine the accuracy constraint from the application performance. The fixed-point
system is modeled with an infinite precision version of the system and a single noise source
located at the system output. Then, an iterative approach for optimizing the fixed-point
specification under the application performance constraint is defined and detailed. Finally
the efficiency of our approach is demonstrated by experiments on an MP3 encoder.