期刊
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
卷 27, 期 3, 页码 303-324出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.acha.2009.05.006
关键词
Sparse regression; Structured regression; Mixed norms; FOCUSS; Thresholded Landweber iterations
Mixed norms are used to exploit in an easy way, both structure and sparsity in the framework of regression problems, and introduce implicitly couplings between regression coefficients. Regression is done through optimization problems, and corresponding algorithms are described and analyzed. Beside the classical sparse regression problem, multi-layered expansion on unions of dictionaries of signals are also considered. These sparse structured expansions are done subject to an exact reconstruction constraint, using a modified FOCUSS algorithm. When the mixed norms are used in the framework of regularized inverse problem, a thresholded Landweber iteration is used to minimize the corresponding variational problem. (C) 2009 Elsevier Inc. All rights reserved.
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