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This thesis considers the application of basis pursuit to several problems in system identification. After reviewing some key results in the theory of basis pursuit and compressed sensing, numerical experiments

This thesis considers the application of basis pursuit to several problems in system identification. After reviewing some key results in the theory of basis pursuit and compressed sensing, numerical experiments are presented that explore the application of basis pursuit to the black-box identification of linear time-invariant (LTI) systems with both finite (FIR) and infinite (IIR) impulse responses, temporal systems modeled by ordinary differential equations (ODE), and spatio-temporal systems modeled by partial differential equations (PDE).

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    Date Created
    • 2012
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  • Text
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    Note
    • Partial requirement for: M.A., Arizona State University, 2012
      Note type
      thesis
    • Includes bibliographical references (p. 88-90)
      Note type
      bibliography
    • Field of study: Mathematics

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    by Robert C. Thompson

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