Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/26677
- Title
- Multistep optimal analog-to-digital conversion
- Author/Creator
-
Quevedo, Daniel E.;
Goodwin, Graham C.
- Description
- An important aspect of analog-to-digital conversion is the impact of quantization errors. This paper outlines how finite horizon constrained optimization methods can be utilized to design converters which minimize a weighted measure of the quantization distortion. We propose a novel converter, which can be implemented as a feedback loop. It embeds ΣΔ conversion in a more general setting and typically provides better performance. We also examine the role played by the associated design parameters in ensuring error convergence.
- Relation
- IEEE Transactions on Circuits and Systems I: Regular Papers Vol. 52, Issue 3, p. 503-515
- Publisher Link
- http://dx.doi.org/10.1109/TCSI.2004.843058
- Date
- 2005
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
analog–digital conversion;
feedback;
optimization;
sigma–delta modulation;
stability;
vector quantization
- Resource Type
- journal article
- Rights
- Copyright © 2005 IEEE. Reprinted from IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 52, Issue 3, p. 503-515. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Identifier
- http://hdl.handle.net/1959.13/26677
- Identifier
- ISSN:1549-8328
- Reviewed
- Full Text
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