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Wavelet Deconvolution in a Periodic Setting Using Cross-Validation

Leming Qu, Boise State University
Partha S. Routh, Boise State University
Kyungduk Ko, Boise State University

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This document was originally published by IEEE in IEEE Signal Processing Letters. Copyright restrictions may apply.

Abstract

The wavelet deconvolution method WaveD using band-limited wavelets offers both theoretical and computational advantages over traditional compactly supported wavelets. The translation-invariant WaveD with a fast algorithm improves further. The twofold cross-validation method for choosing the threshold parameter and the finest resolution level in WaveD is introduced. The algorithm’s performance is compared with the fixed constant tuning and the default tuning in WaveD.

Suggested Citation

Qu, L., Routh, P. S., & Ko, Kyungduk (2006). Wavelet deconvolution in a periodic setting using cross-validation. IEEE Signal Processing Letters, 13(4), 232-235. doi: 10.1109/LSP.2005.863657