Parameter recovery for transient signals

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.

Bibliographic Details
Main Author: Lahlou, Tarek A. (Tarek Aziz)
Other Authors: Alan V. Oppenheim.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/82406
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author Lahlou, Tarek A. (Tarek Aziz)
author2 Alan V. Oppenheim.
author_facet Alan V. Oppenheim.
Lahlou, Tarek A. (Tarek Aziz)
author_sort Lahlou, Tarek A. (Tarek Aziz)
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
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spelling mit-1721.1/824062019-04-10T20:22:44Z Parameter recovery for transient signals Lahlou, Tarek A. (Tarek Aziz) Alan V. Oppenheim. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 115-118). Transient signals naturally arise in numerous disciplines for which the decay rates and amplitudes carry some informational significance. Even when the decay rates are known, solving for the amplitudes results in an ill-conditioned formulation. Transient signals in the presence of noise are further complicated as the signal-to-noise ratio asymptotically decreases in time. In this thesis the Discrete-Time Transient Transform and the Discrete Transient Transform are defined in order to represent a general signal using a linear combination of decaying exponential signals. A common approach to computing a change of basis is to make use of the dual basis. Two algorithms are proposed for generating a dual basis: the first algorithm is specific to a general exponential basis, e.g., real exponential or harmonically related complex exponential bases are special cases of the general exponential basis, while the second algorithm is usable for any general basis. Several properties of a transient domain representation are discussed. Algorithms for computing numerically stable approximate transient spectra are additionally proposed. The inherent infinite bandwidth of a continuous-time transient signal motivates in part the development of a framework for recovering the decay rates and amplitudes of a discrete-time lowpass filtered transient signal. This framework takes advantage of existing parameter modeling, identification, and recovery techniques to determine the decay rates while an alternating projection method utilizing the Discrete Transient Transform determines the amplitudes. by Tarek A. Lahlou. S.M. 2013-11-18T19:19:14Z 2013-11-18T19:19:14Z 2013 2013 Thesis http://hdl.handle.net/1721.1/82406 862112496 eng 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 118 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Lahlou, Tarek A. (Tarek Aziz)
Parameter recovery for transient signals
title Parameter recovery for transient signals
title_full Parameter recovery for transient signals
title_fullStr Parameter recovery for transient signals
title_full_unstemmed Parameter recovery for transient signals
title_short Parameter recovery for transient signals
title_sort parameter recovery for transient signals
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/82406
work_keys_str_mv AT lahloutarekatarekaziz parameterrecoveryfortransientsignals