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Vector Polynomials for Gradient Metrology Data Processing

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Abstract

We discuss the advantages of vector polynomials for wavefront / surface reconstruction from gradient data. The Chebyshev-based G polynomials allow accurate and efficient reconstruction of mid-to-high spatial frequencies particularly where traditional integrations approaches could be problematic.

© 2021 The Author(s)

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