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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- Partial requirement for: M.A., Arizona State University, 2012Note typethesis
- Includes bibliographical references (p. 88-90)Note typebibliography
- Field of study: Mathematics