Abstract
The previous chapters have focused on the definition of a model, and corresponding estimator or sampler, for some random vector \(\underline{Z}\). Explicit throughout the preceding chapters has been the assumption that \(\underline{Z}\) contains a set of spatial elements or image pixels; that is, that \(\underline{Z}\) represents the raw, underlying random field of interest.
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© 2011 Springer New York
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Fieguth, P. (2011). Changes of Basis. In: Statistical Image Processing and Multidimensional Modeling. Information Science and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7294-1_8
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DOI: https://doi.org/10.1007/978-1-4419-7294-1_8
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