☆ 4.6 Article

Wavelet Reconstruction of Nonuniformly Sampled Signals

IEEE SIGNAL PROCESSING LETTERS (2009)

Journal

IEEE SIGNAL PROCESSING LETTERS

Volume 16, Issue 1-3, Pages 73-76

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

DOI: 10.1109/LSP.2008.2008939

Keywords

AIC; LARS; Lasso; wavelet

Categories

Engineering, Electrical & Electronic

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Abstract

For the reconstruction of a nonuniformly sampled signal based on its noisy observations, we propose a level dependent 11 penalized wavelet reconstruction method. The LARS/Lasso algorithm is applied to solve the Lasso problem. The data adaptive choice of the regularization parameters is based on the AIC and the degrees of freedom is estimated by the number of nonzero elements in the Lasso solution. Simulation results conducted on some commonly used I D test signals illustrate that the proposed method possesses good empirical properties.

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