Principal Component Wavelet Networks for Solving Linear Inverse Problems

In this paper we propose a novel learning-based wavelet transform and demonstrate its utility as a representation in solving a number of linear inverse problems—these are asymmetric problems, where the forward problem is easy to solve, but the inverse is difficult and often ill-posed. The wavelet de...

Full description

Saved in:

Bibliographic Details
Published in:	Symmetry (Basel) Vol. 13; no. 6; p. 1083
Main Authors:	Tiddeman, Bernard, Ghahremani, Morteza
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2021
Subjects:	Algorithms Artificial neural networks Convolution Decomposition Deep learning Discrete Wavelet Transform Electromagnetic wave filters Filter banks Forward problem Generative adversarial networks Inverse problems Neural networks Noise reduction Principal components analysis Subtraction Success Wavelet transforms
ISSN:	2073-8994, 2073-8994
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!