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  • Correction of ADC non-linearity can improve the accuracy of AD conversion. Except other possibilities the analytical inverse function of INL(n) curve can be applied. The first achieved result was published in [1]. Further simulations took into account also additive noise, jitter in sampling, non-zero sampled signal phase and hysteretic behavior of the ADC. The result of these imulations was published in [2]. Evaluation of the method using real data of several different AD modules is introduced in this paper.
  • Correction of ADC non-linearity can improve the accuracy of AD conversion. Except other possibilities the analytical inverse function of INL(n) curve can be applied. The first achieved result was published in [1]. Further simulations took into account also additive noise, jitter in sampling, non-zero sampled signal phase and hysteretic behavior of the ADC. The result of these imulations was published in [2]. Evaluation of the method using real data of several different AD modules is introduced in this paper. (en)
Title
  • Non-linearity Correction Based on INL(n) Approximation - Experimental Verification
  • Non-linearity Correction Based on INL(n) Approximation - Experimental Verification (en)
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  • Non-linearity Correction Based on INL(n) Approximation - Experimental Verification
  • Non-linearity Correction Based on INL(n) Approximation - Experimental Verification (en)
skos:notation
  • RIV/68407700:21230/13:00207077!RIV14-MSM-21230___
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  • I
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  • 91983
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  • RIV/68407700:21230/13:00207077
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  • ADC non-linearity, non-linearity correction; experimental verification (en)
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http://linked.open...ontrolniKodProRIV
  • [B291904C9592]
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  • Berlin
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  • Berlin
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  • IDAACS 2013 - Proceedings of the 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems
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  • Slepička, David
  • Suchánek, Petr
  • Haasz, Vladimír
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number of pages
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  • IEEE
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  • 978-1-4799-1426-5
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  • 21230
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