Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.

Bibliographic Details
Main Author: Divi, Vijay, 1980-
Other Authors: Gregory W. Wornell.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/28391
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author Divi, Vijay, 1980-
author2 Gregory W. Wornell.
author_facet Gregory W. Wornell.
Divi, Vijay, 1980-
author_sort Divi, Vijay, 1980-
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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spelling mit-1721.1/283912019-04-12T16:03:39Z Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters Divi, Vijay, 1980- Gregory W. Wornell. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 85-86). High-speed distributed sampling systems, such as time-interleaved analog-to-digital converters, are becoming increasing popular for many modern applications. Calibration is a serious challenge in the design of such systems. Indeed, component variations and layout constraints lead to gain mismatches and timing misalignment. Previous methods for calibration have used training signals or expensive circuitry to overcome these problems. In this work, we investigate alternative approaches for signal recovery. In particular, we develop blind calibration techniques that focus on the estimation of the associated unknown gain and timing offset parameters, from which the calibrated signal is reconstructed. Estimation algorithms are considered for both deterministic and random input signal models. For deterministic signals, a least-squares estimation of the input is examined; for random signals, Maximum Likelihood (ML) parameter estimates are obtained via the Expectation-Maximize (EM) algorithm. Tradeoffs in reconstruction quality between varying calibration times, oversampling factors, and number of converters are developed. Overall, the tradeoffs achieved achieved appear promising for practical applications. by Vijay Divi. M.Eng. 2005-09-26T20:11:50Z 2005-09-26T20:11:50Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28391 56961687 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 86 p. 3592838 bytes 3602386 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Divi, Vijay, 1980-
Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
title Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
title_full Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
title_fullStr Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
title_full_unstemmed Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
title_short Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
title_sort signal reconstruction in distributed sampling systems with application to time interleaved a d converters
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/28391
work_keys_str_mv AT divivijay1980 signalreconstructionindistributedsamplingsystemswithapplicationtotimeinterleavedadconverters