Algorithmic ADC offset compensation by non-white data chopping

Stefano Vitali; Giampaolo Cimatti; Riccardo Rovatti; Gianluca Setti

doi:10.1109/iscas.2007.378496

Algorithmic ADC offset compensation by non-white data chopping

Stefano Vitali, Giampaolo Cimatti, Riccardo Rovatti, Gianluca Setti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper aims at investigating the impact of non-white chopping on the offset compensation performance of time-interleaved analog-to-digital converters. The theoretical framework for selecting optimal chopping sequences is given allowing fast offset compensation and good spectral shaping. Both the signal-to-noise ratio and the spurious-free dynamic range are improved significantly. © 2007 IEEE.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1425-1428
Number of pages	4
DOIs	https://doi.org/10.1109/iscas.2007.378496
State	Published - Jan 1 2007
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-02-15

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10.1109/iscas.2007.378496

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title = "Algorithmic ADC offset compensation by non-white data chopping",

abstract = "This paper aims at investigating the impact of non-white chopping on the offset compensation performance of time-interleaved analog-to-digital converters. The theoretical framework for selecting optimal chopping sequences is given allowing fast offset compensation and good spectral shaping. Both the signal-to-noise ratio and the spurious-free dynamic range are improved significantly. {\textcopyright} 2007 IEEE.",

author = "Stefano Vitali and Giampaolo Cimatti and Riccardo Rovatti and Gianluca Setti",

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AU - Cimatti, Giampaolo

AU - Rovatti, Riccardo

AU - Setti, Gianluca

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PY - 2007/1/1

Y1 - 2007/1/1

N2 - This paper aims at investigating the impact of non-white chopping on the offset compensation performance of time-interleaved analog-to-digital converters. The theoretical framework for selecting optimal chopping sequences is given allowing fast offset compensation and good spectral shaping. Both the signal-to-noise ratio and the spurious-free dynamic range are improved significantly. © 2007 IEEE.

AB - This paper aims at investigating the impact of non-white chopping on the offset compensation performance of time-interleaved analog-to-digital converters. The theoretical framework for selecting optimal chopping sequences is given allowing fast offset compensation and good spectral shaping. Both the signal-to-noise ratio and the spurious-free dynamic range are improved significantly. © 2007 IEEE.

UR - http://ieeexplore.ieee.org/document/4252916/

UR - http://www.scopus.com/inward/record.url?scp=34548834762&partnerID=8YFLogxK

U2 - 10.1109/iscas.2007.378496

DO - 10.1109/iscas.2007.378496

M3 - Conference contribution

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EP - 1428

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Algorithmic ADC offset compensation by non-white data chopping

Abstract

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