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Digital filter optimization for C languageBARLEANU, A. , BAITOIU, V. , STAN, A.
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embedded software, fixed-point arithmetic, filtering algorithms, design optimization, accuracy
point(16), fixed(9), systems(7), floating(7), signal(6), processing(5), conversion(5)
No common words between the references section and the paper title.
About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 111 - 114
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03018
Web of Science Accession Number: 000296186700018
SCOPUS ID: 80055068021
A method for transforming C code with floating-point values into C code with integer variables is developed. The objective is to avoid any operations with floating-point data types, thereby increasing the execution speed of the program on a microprocessor without a math coprocessor. The original C code must be a dot product with floating-point literals and integer variables with known interval bounds. The transformation algorithm remodels the dot product form into a tree structure, to maximize the accuracy, but, on the other side, keeps the number of shift operations reduced. The integer code that is generated is ANSI C compliant. It is tested on 8-bit and 32-bit microprocessors using different compilers. The results show that the integer code is several times faster than the floating-point code, the only loss being a very low accuracy drop.
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[CrossRef] [Web of Science Record]
 Programming languages C, International Standard, ISO/IEC 9899:TC2
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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