Optimizing analog-to-digital converters based on the statistical properties of signal

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Abstract

Most of the analog-to-digital converters (ADC) nowadays are designed for a specific application, which gives opportunities to optimize them in a system context while aintaining similar system performance. In this paper, we propose a design method based on using the priori statistical properties of the input signal to optimize the design of the ADC and the posteriori input signal information for adaptation for a multi-carrier system. A parallel ADCs architecture is proposed for improve the conversion of wideband multi-carrier signals. Compared with the traditional single ADC architecture, the proposed ADC architecture is able to achieve a similar signal-tonoise ratio (SNR) with multiple lower resolution ADCs, and hence is very advantageous in terms of reducing the ADC complexity and power consumption.
Original languageEnglish
Title of host publicationProceedings of ProRISC 2009, 20th Annual Workshop on Circuits Systems and Signal Processing, November 26-27, 2009, Veldhoven, The Netherlands
Place of PublicationUtrecht
PublisherSTW Technology Foundation
Pages340-343
ISBN (Print)978-90-73461-62-8
Publication statusPublished - 2009

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    Lin, Y., Hegt, J. A., Doris, K., & Roermund, van, A. H. M. (2009). Optimizing analog-to-digital converters based on the statistical properties of signal. In Proceedings of ProRISC 2009, 20th Annual Workshop on Circuits Systems and Signal Processing, November 26-27, 2009, Veldhoven, The Netherlands (pp. 340-343). Utrecht: STW Technology Foundation.