Chaos Prediction of Fast Fading Channel of Multi-rates Digital Modulation Using Support Vector Machines

Cloud Computing and Security - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68542-7_68 ◽

2017 ◽

pp. 783-790

Author(s):

Yijing Ren ◽

Ren Ren

Keyword(s):

Support Vector Machines ◽

Fading Channel ◽

Support Vector ◽

Digital Modulation ◽

Fast Fading ◽

Vector Machines

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Noise reduction for fast fading channel by Recurrent Least Squares Support Vector Machines in embedding phase spaces

Journal of Electronics (China) ◽

10.1007/s11767-006-0016-6 ◽

2006 ◽

Vol 23 (6) ◽

pp. 926-928

Author(s):

Zheng Xiang ◽

Taiyi Zhang ◽

Jiancheng Sun

Keyword(s):

Support Vector Machines ◽

Noise Reduction ◽

Least Squares ◽

Fading Channel ◽

Support Vector ◽

Fast Fading ◽

Vector Machines

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Algorithm of digital modulation recognition based on support vector machines

2009 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2009.5212366 ◽

2009 ◽

Author(s):

Lan-Xun Wang ◽

Yu-Jing Ren ◽

Rui-Hua Zhang

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Modulation Recognition ◽

Digital Modulation ◽

Vector Machines

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VLSI architectures for Digital Modulation Classification using Support Vector Machines

2013 IEEE 4th Latin American Symposium on Circuits and Systems (LASCAS) ◽

10.1109/lascas.2013.6519075 ◽

2013 ◽

Author(s):

E. Sorato ◽

R. Netto ◽

P. Michel ◽

J. L. Guntzel ◽

A. R. Castro ◽

...

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Modulation Classification ◽

Digital Modulation ◽

Vlsi Architectures ◽

Vector Machines ◽

Digital Modulation Classification

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Automatic Digital Modulation Recognition Based on Support Vector Machines

2005 International Conference on Neural Networks and Brain ◽

10.1109/icnnb.2005.1614792 ◽

2006 ◽

Author(s):

Zhilu Wu ◽

Xuexia Wang ◽

Zhenzhen Gao ◽

Guanghui Ren

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Modulation Recognition ◽

Digital Modulation ◽

Vector Machines

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Recognition of digital modulation signals based on high order cumulants and support vector machines

2009 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2009.5267733 ◽

2009 ◽

Author(s):

Lan-Xun Wang ◽

Yu-Jing Ren

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Digital Modulation ◽

Vector Machines ◽

High Order Cumulants

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Nonlinear prediction of mobile-radio fading channel using recurrent least squares support vector machines and embedding phase space

2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914) ◽

10.1109/icccas.2004.1346063 ◽

2004 ◽

Author(s):

Jiancheng Sun ◽

Taiyi Zhang ◽

Feng Liu

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Least Squares ◽

Fading Channel ◽

Mobile Radio ◽

Support Vector ◽

Nonlinear Prediction ◽

Vector Machines

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Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm

Advances in Neural Networks – ISNN 2005 - Lecture Notes in Computer Science ◽

10.1007/11427445_93 ◽

2005 ◽

pp. 568-573 ◽

Author(s):

Jie Li ◽

Jing Peng ◽

Heng Chu ◽

Weile Zhu

Keyword(s):

Genetic Algorithm ◽

Support Vector Machines ◽

Support Vector ◽

Modulation Recognition ◽

Digital Modulation ◽

Vector Machines

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Real-time digital modulation classification based on Support Vector Machines

2013 26th Symposium on Integrated Circuits and Systems Design (SBCCI) ◽

10.1109/sbcci.2013.6644875 ◽

2013 ◽

Author(s):

Edson Sorato ◽

Eduardo P. Fronza ◽

Paulo R.F.M.M. Barbosa ◽

Jose Luis Guntzel ◽

Adalbery R. Castro ◽

...

Keyword(s):

Support Vector Machines ◽

Real Time ◽

Support Vector ◽

Modulation Classification ◽

Digital Modulation ◽

Vector Machines ◽

Digital Modulation Classification

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Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i12.10964 ◽

2016 ◽

Vol 11 (12) ◽

pp. 1147

Author(s):

Abderrahmane Bendahmane ◽

Abdelkader Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Term Weighting ◽

Web Documents ◽

Vector Machines

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Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00236 ◽

2010 ◽

Vol 30 (1) ◽

pp. 236-239 ◽

Author(s):

Liang XU

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Chemical Process ◽

Least Square ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

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