Sub-Nyquist sampling-based wideband spectrum sensing: a compressed power spectrum estimation approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science,Theoretical Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11704-022-2158-6.pdf
Reference16 articles.
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3. Sun H J, Nallanathan A, Wang C X, Chen Y F. Wideband spectrum sensing for cognitive radio networks: a survey. IEEE Wireless Communications, 2013, 20(2): 74–81
4. Mishali M, Eldar Y C. From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 375–391
5. Sun H J, Chiu W Y, Jiang J, Nallanathan A, Poor H V. Wideband spectrum sensing with Sub-Nyquist sampling in cognitive radios. IEEE Transactions on Signal Processing, 2012, 60(11): 6068–6073
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