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Model Selection with Componentwise Shrinkage in Orthogonal Regression
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2003/07/01
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Digital Signal Processing
harmonic analysis, orthogonal regression, model selection criterion, penalized cost function, componentwise shrinkage estimator,
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In the problem of determining the major frequency components of a signal disturbed by noise, a model selection criterion has been proposed. In this paper, the criterion has been extended to cover a penalized cost function that yields a componentwise shrinkage estimator, and it exhibited a consistent model selection when the proposed criterion was used. Then, a simple numerical simulation was conducted, and it was found that the proposed criterion with an empirically estimated componentwise shrinkage estimator outperforms the original criterion.