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Inference from Data and Models, Spring 2005
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Fundamental methods used for exploring the information content of observations related to ...

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, control theory, sequential estimation (Kalman filters and smoothing algorithms), adjoint/Pontryagin principle methods, model testing, etc. Second part focuses on stationary processes, including Fourier methods, z-transforms, sampling theorems, spectra including multi-taper methods, coherences, filtering, etc. Directed at the quantitative combinations of models, with realistic, i.e. sparse and noisy observations.

Subject:
Atmospheric Science
Science and Technology
Material Type:
Activities and Labs
Full Course
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Lecture Notes
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Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Wunsch, Carl