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نمایش تعداد 1-7 از 7

Advances in Mobile Radio Access Networks

نوع: Ebook

نویسنده : Y. Jay Guo

ناشر: Artech House Publishers

سال: 2004

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Fresnel Zone Antennas

نوع: Ebook

نویسنده : Y. Jay Guo Stephen K. Barton

ناشر: Springer

سال: 2002

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Guest Editorial Antennas for Satellite Communications

نوع: Journal Paper

نویسنده : Steven Gao; Neil F. Chamberlain; Y. Jay Guo

سال: 2015

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Comprehensive imperfection mitigation for precoded OFDM systems

نوع: Journal Paper

نویسنده : Xiaojing Huang; Jian A. Zhang; Y. Jay Guo

سال: 2014

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Energy-Efficient Distributed Data Storage for Wireless Sensor Networks Based on Compressed Sensing and Network Coding

نوع: Journal Paper

نویسنده : Xianjun Yang; Xiaofeng Tao; Eryk Dutkiewicz; Xiaojing Huang; Y. Jay Guo; Qimei Cui

سال: 2013

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Broadband High Gain SIW Cavity-Backed Circular Polarized Array Antenna

نوع: Journal Paper

نویسنده : Dongfang Guan; Can Ding; Zuping Qian; Ying Song Zhang; Y. Jay Guo; Ke Gong

سال: 2016

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Performance bounds of compressed sensing recovery algorithms for sparse noisy signals

نوع: Journal Paper

نویسنده : Xiangling Li; Qimei Cui; Xiaofeng Tao; Xianjun Yang; Waheed ur Rehman; Y. Jay Guo

سال: 2013

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Advances in Mobile Radio Access Networks

Fresnel Zone Antennas

Guest Editorial Antennas for Satellite Communications

Comprehensive imperfection mitigation for precoded OFDM systems

Energy-Efficient Distributed Data Storage for Wireless Sensor Networks Based on Compressed Sensing and Network Coding

Broadband High Gain SIW Cavity-Backed Circular Polarized Array Antenna

Performance bounds of compressed sensing recovery algorithms for sparse noisy signals

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Advances in Mobile Radio Access Networks

Fresnel Zone Antennas

Guest Editorial Antennas for Satellite Communications

Comprehensive imperfection mitigation for precoded OFDM systems

Energy-Efficient Distributed Data Storage for Wireless Sensor Networks Based on Compressed Sensing and Network Coding

Broadband High Gain SIW Cavity-Backed Circular Polarized Array Antenna

Performance bounds of compressed sensing recovery algorithms for sparse noisy signals