Cyclostationary feature detection from sub-Nyquist samples-Reference-Cited by-同舟云学术

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Cyclostationary feature detection from sub-Nyquist samples

Published:2011-12 Issue: Volume: Page:
ISSN:
Container-title:2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
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Author:

Cohen Deborah,Rebeiz Eric,Jain Varun,Eldar Yonina C.,Cabric Danijela

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6123709/6135894/06136018.pdf?arnumber=6136018

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-Enabled Compressive Spectrum Classification for Wideband Radios;Technologies;2023-12-13

2. A Novel Low-Complexity Cyclostationary Feature Detection Using Sub-Nyquist Samples for Wideband Spectrum Sensing;Circuits, Systems, and Signal Processing;2021-07-02

3. A Spectrum Sensing Method Based on Null Space Pursuit Algorithm and FCM Clustering Algorithm;Cloud Computing and Security;2018

4. Cyclostationary-based jammer detection for wideband radios using compressed sensing and artificial neural network;International Journal of Distributed Sensor Networks;2017-12

5. Compressive cyclostationary spectrum sensing with a constant false alarm rate;EURASIP Journal on Wireless Communications and Networking;2017-08-03

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