Compressive Bayesian K-SVD

作者：

Highlights：

•

• A novel fully-automated compressive dictionary learning method is proposed.

• All the parameters including the sparsity are estimated through Bayesian inference.

• Our method achieves high performance at both signal recovery and classification.

摘要

•A novel fully-automated compressive dictionary learning method is proposed.•All the parameters including the sparsity are estimated through Bayesian inference.•Our method achieves high performance at both signal recovery and classification.

论文关键词：Compressed sensing,Dictionary learning,Sparse representation,Classification,Bayesian inference

论文评审过程：Received 7 April 2017, Revised 24 July 2017, Accepted 16 August 2017, Available online 30 August 2017, Version of Record 11 September 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.08.009