Denoising strategies for general finite frames

D. De Canditiis, M. Pensky and P.J. Wolfe

Mathematics and Computers in Simulation (MATCOM), 2018, vol. 147, issue C, 90-99

Abstract: Overcomplete representations such as wavelets and windowed Fourier expansions have become mainstays of modern statistical data analysis. In the present work, in the context of general finite frames, we derive an oracle expression for the mean quadratic risk of a linear diagonal de-noising procedure which immediately yields the optimal linear diagonal estimator. Moreover, we obtain an expression for an unbiased estimator of the risk of any smooth shrinkage rule. This last result motivates a set of practical estimation procedures for general finite frames that can be viewed as the generalization of the classical procedures for orthonormal bases. A simulation study verifies the effectiveness of the proposed procedures with respect to the classical ones and confirms that the correlations induced by frame structure should be explicitly treated to yield an improvement in estimation precision.

Keywords: Finite frames; Block thresholding; Shrinkage; Signal de-noising; SURE (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:147:y:2018:i:c:p:90-99

DOI: 10.1016/j.matcom.2017.02.005

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