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Volumn 80, Issue 4, 2015, Pages 1717-1732

Novel Compressed Sensing Algorithm Based on Modulation Classification and Symbol Rate Recognition

Author keywords

Cognitive radio; Compressed sensing; Cyclostationary detection; Modulation classification; Symbol rate recognition; Wavelet transform

Indexed keywords

COGNITIVE RADIO; COMPRESSED SENSING; DETERIORATION; MODULATION; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

EID: 84923337100     PISSN: 09296212     EISSN: 1572834X     Source Type: Journal    
DOI: 10.1007/s11277-014-2109-0     Document Type: Article
Times cited : (4)

References (12)
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  • 3
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    • Zhao, Y.Q.1    Li, S.Y.2    Zhao, N.3    Wu, Z.L.4
  • 5
    • 84923320849 scopus 로고    scopus 로고
    • Cyclostationary approaches to signal detection and classification in cognitive radio. New Frontiers in Dynamic Spectrum Access Networks (DySPAN)
    • Kyouwoong, K., Akbar, I.A., Bae, K.K., Um, J.S., Spooner, C.M., & Reed, J.H. (2007). Cyclostationary approaches to signal detection and classification in cognitive radio. New Frontiers in Dynamic Spectrum Access Networks (DySPAN). 2007 IEEE 2nd International Symposium, 212–215.
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    • Tian, Z.1    Giannakis, G.B.2
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  • 10
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    • Cyclic feature detection with sub-nyquist sampling for wideband spectrum sensing
    • Tian, Z., Tafesse, Y., & Sadler, B. M. (2012). Cyclic feature detection with sub-nyquist sampling for wideband spectrum sensing. Selected Topics in Signal Processing, IEEE Journal, 6(1), 58–69.
    • (2012) Selected Topics in Signal Processing, IEEE Journal , vol.6 , Issue.1 , pp. 58-69
    • Tian, Z.1    Tafesse, Y.2    Sadler, B.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.