Machine Learning Empowered Spectrum Sensing Under a Sub-Sampling Framework

Author:

Zhang Han1ORCID,Yang Jian2ORCID,Gao Yue1ORCID

Affiliation:

1. Institute for Communication Systems, University of Surrey, Guildford, U.K

2. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

Funder

Engineering and Physical Sciences Research Council in the U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Reference34 articles.

1. Wideband spectrum sensing for cognitive radio;vieira;Proc 22nd Eur Signal Process Conf (EUSIPCO),2014

2. Deep learning;lecun;Nature,2015

3. Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

4. Scikit-learn: Machine learning in Python;pedregosa;J Mach Learn Res,2011

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