Low-rank constrained multichannel signal denoising considering channel-dependent sensitivity inspired by self-supervised learning for optical fiber sensing.
Noriyuki TonamiWataru KohnoSakiko MishimaYumi AraiReishi KondoTomoyuki HinoPublished in: CoRR (2023)
Keyphrases
- low rank
- denoising
- optical fiber
- learning algorithm
- learning process
- computer vision
- group sparsity
- matrix completion
- single channel
- learning tasks
- reinforcement learning
- learning problems
- singular value decomposition
- signal processing
- kernel matrix
- discriminative learning
- wavelet transform
- active learning
- multiresolution