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Imager Design using Object-Space Prior Knowledge M. A. Neifeld University of Arizona

Imager Design using Object-Space Prior Knowledge M. A. Neifeld University of Arizona. OUTLINE 1. The Last Slot 2. Introduction 3. PSF Engineering 4. Feature-Specific Imaging. Neifeld IMA 2005. Neifeld IMA 2005. Introduction: objects are not iid pixels.

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Lecture 14

Lecture 14. PCA, pPCA, ICA. Principal Components Analysis. PCA is a data analysis technique to find the subspace of input space that carries most of the variance of the data. It is therefore useful as a tool to reduce the dimensionality of input space.

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Imager Design using Object-Space Prior Knowledge M. A. Neifeld University of Arizona

Lecture 14