tailieunhanh - Báo cáo hóa học: "Floating-to-Fixed-Point Conversion for Digital Signal Processors"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Floating-to-Fixed-Point Conversion for Digital Signal Processors | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 96421 Pages 1-19 DOI ASP 2006 96421 Floating-to-Fixed-Point Conversion for Digital Signal Processors Daniel Menard Daniel Chillet and Olivier Sentieys R2D2 Team IRISA ENSSAT University of Rennes I 6 rue de Kerampont 22300 Lannion France Received 1 October 2004 Revised 7 July 2005 Accepted 12 July 2005 Digital signal processing applications are specified with floating-point data types but they are usually implemented in embedded systems with fixed-point arithmetic to minimise cost and power consumption. Thus methodologies which establish automatically the fixed-point specification are required to reduce the application time-to-market. In this paper a new methodology for the floating-to-fixed point conversion is proposed for software implementations. The aim of our approach is to determine the fixed-point specification which minimises the code execution time for a given accuracy constraint. Compared to previous methodologies our approach takes into account the DSP architecture to optimise the fixed-point formats and the floating-to-fixed-point conversion process is coupled with the code generation process. The fixed-point data types and the position of the scaling operations are optimised to reduce the code execution time. To evaluate the fixed-point computation accuracy an analytical approach is used to reduce the optimisation time compared to the existing methods based on simulation. The methodology stages are described and several experiment results are presented to underline the efficiency of this approach. Copyright 2006 Daniel 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. 1. INTRODUCTION Most embedded systems integrate digital signal processing applications. These applications are