Results 111 to 120 of about 2,189,605 (128)

All-fiber random Kerr optical frequency combs. [PDF]

Nat Commun
Zhou DP, Tatel G, Wang Y, Westbrook PS, Chen L, Bao X.   +5 more
europepmc   +1 more source

Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios

IEEE Communications Letters, 2012
Adaptive Compressive Spectrum Sensing for Wideband Cognitive ...
Arumugam Nallanathan, Wei-Yu Chiu
exaly   +4 more sources

Wideband spectrum sensing for cognitive radio networks: a survey

IEEE Wireless Communications, 2013
Cognitive radio has emerged as one of the most promising candidate solutions to improve spectrum utilization in next generation cellular networks. A crucial requirement for future cognitive radio networks is wideband spectrum sensing: secondary users ...
Yunfei Chen, Arumugam Nallanathan
exaly   +2 more sources

Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios

IEEE Transactions on Signal Processing, 2012
Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive ...
Arumugam Nallanathan, Vincent Poor
exaly   +2 more sources

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Deep Learning-Based Wideband Spectrum Sensing: A Low Computational Complexity Approach

IEEE Communications Letters, 2023
Ruru Mei, Wang Zhugang
exaly  

Sub-Nyquist sampling-based wideband spectrum sensing: a compressed power spectrum estimation approach

Frontiers of Computer Science, 2023
Jilin Wang
exaly  

A rapid coarse-grained blind wideband spectrum sensing method for cognitive radio networks

Computer Communications, 2021
Peng Feng, Yuebin Bai
exaly  

Reliable and Efficient Sub-Nyquist Wideband Spectrum Sensing in Cooperative Cognitive Radio Networks

IEEE Journal on Selected Areas in Communications, 2016
Yue Gao, Yuan Ma, Shuguang Cui
exaly  

Cyclic Feature Detection With Sub-Nyquist Sampling for Wideband Spectrum Sensing

IEEE Journal on Selected Topics in Signal Processing, 2012
Zhi Tian, Brian M Sadler
exaly