Parameter Estimation and Classification via Supervised Learning in the Wireless Physical Layer: A Survey and Tutorial

IEEE Access ◽

10.1109/access.2021.3128813 ◽

2021 ◽

pp. 1-1

Author(s):

Kyle W. McClintick ◽

Galahad M. Wernsing ◽

Paulo Victor R. Ferreira ◽

Alexander M. Wyglinski

Keyword(s):

Parameter Estimation ◽

Supervised Learning ◽

Physical Layer

Stochastic Parameter Estimation Neural Nets Supervised Learning Approach

10.21528/cbrn1994-010 ◽

2016 ◽

Author(s):

Atair Rios Neto

Keyword(s):

Parameter Estimation ◽

Supervised Learning ◽

Neural Nets ◽

Learning Approach ◽

Stochastic Parameter

Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15883-4_19 ◽

2010 ◽

pp. 291-304 ◽

Cited By ~ 9

Author(s):

Marco Loog

Keyword(s):

Parameter Estimation ◽

Supervised Learning

Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network

Physical Review X ◽

10.1103/physrevx.9.041023 ◽

2019 ◽

Vol 9 (4) ◽

Cited By ~ 6

Author(s):

Quntao Zhuang ◽

Zheshen Zhang

Keyword(s):

Supervised Learning ◽

Sensor Network ◽

Physical Layer

A novel fuzzy supervised learning method with dynamical parameter estimation for discriminant analysis

2012 9th International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2012.6234111 ◽

2012 ◽

Author(s):

Xiaoning Song ◽

Xibei Yang ◽

Zi Liu ◽

Xiangnan Ding

Keyword(s):

Parameter Estimation ◽

Discriminant Analysis ◽

Supervised Learning ◽

Learning Method ◽

Dynamical Parameter

A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis

Computers & Mathematics with Applications ◽

10.1016/j.camwa.2013.06.033 ◽

2013 ◽

Vol 66 (10) ◽

pp. 1782-1794 ◽

Cited By ~ 2

Author(s):

Xiaoning Song ◽

Zi Liu ◽

Xibei Yang ◽

Jingyu Yang

Keyword(s):

Parameter Estimation ◽

Discriminant Analysis ◽

Supervised Learning ◽

Learning Method ◽

Dynamical Parameter ◽

Nonlinear Discriminant Analysis

Frequentist parameter estimation with supervised learning

AVS Quantum Science ◽

10.1116/5.0058163 ◽

2021 ◽

Vol 3 (3) ◽

pp. 034401

Author(s):

Samuel P. Nolan ◽

Luca Pezzè ◽

Augusto Smerzi

Keyword(s):

Parameter Estimation ◽

Supervised Learning

Parameter Estimation and Tracking in Physical Layer Network Coding

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 ◽

10.1109/glocom.2011.6133876 ◽

2011 ◽

Cited By ~ 8

Author(s):

M. Jain ◽

S. L. Miller ◽

A. Sprintson

Keyword(s):

Parameter Estimation ◽

Network Coding ◽

Physical Layer ◽

Physical Layer Network Coding

Supervised Learning for Physical Layer Based Message Authentication in URLLC Scenarios

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) ◽

10.1109/vtcfall.2019.8891424 ◽

2019 ◽

Author(s):

Andreas Weinand ◽

Raja Sattiraju ◽

Michael Karrenbauer ◽

Hans D. Schotten

Keyword(s):

Supervised Learning ◽

Physical Layer ◽

Message Authentication

Wireless Physical Layer Network Coding

10.1017/9781316156162 ◽

2018 ◽

Cited By ~ 3

Author(s):

Jan Sykora ◽

Alister Burr

Keyword(s):

Network Coding ◽

Physical Layer ◽

Physical Layer Network Coding

Physical-Layer Security

10.1017/cbo9780511977985 ◽

2009 ◽

Cited By ~ 604

Author(s):

Matthieu Bloch ◽

Joao Barros

Keyword(s):

Physical Layer Security ◽

Physical Layer