Noise shaping Riemann: an energy efficient data conversion scheme.

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Title: Noise shaping Riemann: an energy efficient data conversion scheme.
Authors: Veyrac, Yoan1 yoan.veyrac@ims-bordeaux.fr, Rivet, Francois1, Deval, Yann1
Source: Analog Integrated Circuits & Signal Processing. Aug2017, Vol. 92 Issue 2, p189-197. 9p.
Subjects: Energy consumption, Analog data, Caloric expenditure, Radio frequency, Sampling theorem
Abstract: This paper presents a novel conversion scheme for time signals, especially suited for wireless communication applications. The digital/analog data representation paradigm is discussed and critical aspects are determined. It involves digital information coding, two-way digital/analog conversion and their respective efficiency. The proposed conversion scheme relies on a slight oversampling ratio (OSR), combined with a differentiating coding and a $$1^\mathrm{st}$$ order noise shaping loop. It achieves a resolution increased by 2.5 effective number of bits per doubling of the OSR. The resulting conversion efficiency combined with a moderate digital coding complexity leads to a substantial improvement of the energy cost of conversion compared to conventional Nyquist rate architectures. The efficiency gain is even higher for converters limited by thermal noise. It can reach a ten fold improvement for OSR around 10, which makes this architecture a good option for the handling of radio frequency signals. [ABSTRACT FROM AUTHOR]
Copyright of Analog Integrated Circuits & Signal Processing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Analog+Integrated+Circuits+%26+Signal+Processing%22">Analog Integrated Circuits & Signal Processing</searchLink>. Aug2017, Vol. 92 Issue 2, p189-197. 9p.
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  Data: This paper presents a novel conversion scheme for time signals, especially suited for wireless communication applications. The digital/analog data representation paradigm is discussed and critical aspects are determined. It involves digital information coding, two-way digital/analog conversion and their respective efficiency. The proposed conversion scheme relies on a slight oversampling ratio (OSR), combined with a differentiating coding and a $$1^\mathrm{st}$$ order noise shaping loop. It achieves a resolution increased by 2.5 effective number of bits per doubling of the OSR. The resulting conversion efficiency combined with a moderate digital coding complexity leads to a substantial improvement of the energy cost of conversion compared to conventional Nyquist rate architectures. The efficiency gain is even higher for converters limited by thermal noise. It can reach a ten fold improvement for OSR around 10, which makes this architecture a good option for the handling of radio frequency signals. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Analog Integrated Circuits & Signal Processing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10470-017-0980-9
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      – SubjectFull: Caloric expenditure
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      – SubjectFull: Sampling theorem
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              Text: Aug2017
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