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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: Optimum Wordlength Search Using Sensitivity Information | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 92849 Pages 1-14 DOI 10.1155 ASP 2006 92849 Optimum Wordlength Search Using Sensitivity Information Kyungtae Han and Brian L. Evans Embedded Signal Processing Laboratory Wireless Networking and Communications Group The University of Texas at Austin Austin TX 78712 USA Received 2 October 2004 Revised 4 July 2005 Accepted 12 July 2005 Many digital signal processing algorithms are first developed in floating point and later converted into fixed point for digital hardware implementation. During this conversion more than 50 of the design time may be spent for complex designs and optimum wordlengths are searched by trading off hardware complexity for arithmetic precision at system outputs. We propose a fast algorithm for searching for an optimum wordlength. This algorithm uses sensitivity information of hardware complexity and system output error with respect to the signal wordlengths while other approaches use only one of the two sensitivities. This paper presents various optimization methods and compares sensitivity search methods. Wordlength design case studies for a wireless demodulator show that the proposed method can find an optimum solution in one fourth of the time that the local search method takes. In addition the optimum wordlength searched by the proposed method yields 30 lower hardware implementation costs than the sequential search method in wireless demodulators. Case studies demonstrate the proposed method is robust for searching for the optimum wordlength in a nonconvex space. Copyright 2006 K. Han and B. L. Evans. 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 Digital signal processing algorithms often rely on long wordlengths for high precision whereas digital hardware .
