Open AccessEntropy‐based transform learning algorithms
Author(s) -
Parthasarathy Gayatri,
Abhilash G.
Publication year - 2018
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2017.0337
Subject(s) - computer science , algorithm , artificial intelligence , entropy (arrow of time) , quantum mechanics , physics
This study proposes transform learning (TL) methods to construct a sparsifying basis for a class of signals by minimising the entropy of representation of the signal class. Simulation studies using synthetic, speech, and image signals confirm that the basis constructed using the proposed methods result in an improved sparsity of the signals compared to most of the existing TL algorithms.