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• W2105612374 abstract "Consider the problem of estimating a multi-dimensional signal in the presence of an unknown deformation of its coordinates and additive Gaussian noise. This problem arises in a wide range of engineering applications including image registration, image classification, and speech processing. A fundamental solution to this problem involves estimating the unknown parameters of a model for the distorting function. The achievable parameter estimation accuracy for this problem is evaluated using the Cramer Rao lower bound. The performance of a recently developed low complexity linear estimator is analyzed." @default.
• W2105612374 created "2016-06-24" @default.
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• W2105612374 date "2008-10-01" @default.
• W2105612374 modified "2023-10-18" @default.
• W2105612374 title "Estimating homeomorphic deformations of multi-dimensional signals - An accuracy analysis" @default.
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• W2105612374 doi "https://doi.org/10.1109/acssc.2008.5074706" @default.
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