Digital pre-compensation for faulty D/A converters : the "missing pixel" problem

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

Bibliographic Details
Main Author: Dey, Sourav Raj, 1980-
Other Authors: Alan V. Oppenheim.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/28392
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author Dey, Sourav Raj, 1980-
author2 Alan V. Oppenheim.
author_facet Alan V. Oppenheim.
Dey, Sourav Raj, 1980-
author_sort Dey, Sourav Raj, 1980-
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2004.
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spelling mit-1721.1/283922019-04-11T14:38:00Z Digital pre-compensation for faulty D/A converters : the "missing pixel" problem Digital pre-compensation for faulty digital-to-analog converters Dey, Sourav Raj, 1980- Alan V. Oppenheim. 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, June 2004. Includes bibliographical references (p. 71-72). In some contexts, DACs fail in such a way that specific samples are dropped. The dropped samples lead to distortion in the analog reconstruction. We refer to this as the "missing pixel" problem. Under certain conditions, it may be possible to compensate for the dropped sample by pre-processing the digital signal, thereby reducing the analog reconstruction error. We develop three such compensation strategies in this thesis. The first strategy uses constrained minimization to calculate the optimal finite-length compensation signal. We develop a closed-form solution using the method of Lagrange multipliers. Next, we develop an approximation to the optimal solution using discrete prolate spheroidal sequences. We show that the optimal solution is a linear combination of the discrete prolates. The last compensation technique we develop is an iterative solution in class of projection-onto-convex-sets. We develop the algorithm and prove that it converges to the optimal solution found using constrained minimization. Each of the three strategies are analyzed and results from numerical simulations are presented. by Sourav Raj Dey. M.Eng. 2005-09-26T20:12:09Z 2005-09-26T20:12:09Z 2003 2004 Thesis http://hdl.handle.net/1721.1/28392 56961723 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 72 p. 2503048 bytes 2510362 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Dey, Sourav Raj, 1980-
Digital pre-compensation for faulty D/A converters : the "missing pixel" problem
title Digital pre-compensation for faulty D/A converters : the "missing pixel" problem
title_full Digital pre-compensation for faulty D/A converters : the "missing pixel" problem
title_fullStr Digital pre-compensation for faulty D/A converters : the "missing pixel" problem
title_full_unstemmed Digital pre-compensation for faulty D/A converters : the "missing pixel" problem
title_short Digital pre-compensation for faulty D/A converters : the "missing pixel" problem
title_sort digital pre compensation for faulty d a converters the missing pixel problem
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/28392
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