M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework

Abstract

Transform learning is being extensively applied in several applications because of its ability to adapt to a class of the signals of interest. Often, a transform is learned using a large amount of training data, while only limited data may be available in many applications. Motivated with this, we propose wavelet transform learning in the lifting framework… (More)
DOI: 10.1109/ACCESS.2017.2788084

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