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Intelligent Engineering Systems through Artificial Neural Networks, Volume 16Available to Purchase
ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006
eBook Chapter
120 A Digital-to-Analog Converter for Extreme Environments Available to Purchase
By
Zhaohong Wu
,
Zhaohong Wu
Department of Mechanical Engineering
University of Texas at Austin
Austin, Texas 78712-0292
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Benito R. Fernández
Benito R. Fernández
Department of Mechanical Engineering
University of Texas at Austin
Austin, Texas 78712-0292
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Page Count:
6
-
Published:2006
Citation
Wu, Z, & Fernández, BR. "A Digital-to-Analog Converter for Extreme Environments." Intelligent Engineering Systems through Artificial Neural Networks, Volume 16. Ed. Dagli, CH, Buczak, AL, Enke, DL, Embrechts, M, & Ersoy, O. ASME Press, 2006.
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This paper presents a method and an apparatus named as Internal Calibrated Digital to Analog Converter (IC-DAC), which automatically searches the best configuration (setup of switches) to achieve close-to-ideal voltage output of an extended R/2R ladder network for any digital input. The configurations are stored in a mapping matrix, which can be rewritten by an internal calibration process. A prototype with a hardware end and a software end was developed and proved to perform robustly with many times higher accuracy than traditional R/2R DAC.
Abstract
Introduction
Method
Implementation
Conclusions
References
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