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Volumn 5, Issue , 2004, Pages

A new block based time-frequency approach for underdetermined blind source separation

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; SOURCE SEPARATIONS; TIME-FREQUNECY APPROACH; TRANSMISSION CHANNELS;

EID: 4544359817     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 1
    • 0035501128 scopus 로고    scopus 로고
    • Underdetermined blind source separation using sparse representation
    • P. Bofill and M. Zibulevsky. Underdetermined blind source separation using sparse representation. Signal Processing, 81:2253-2362, 2001.
    • (2001) Signal Processing , vol.81 , pp. 2253-2362
    • Bofill, P.1    Zibulevsky, M.2
  • 3
    • 0031102203 scopus 로고    scopus 로고
    • Sparse signal reconstruction from limited data using FOCUSS: A reweighted minimum norm algorithm
    • I. F. Gorodnitsky and B. D. Rao. Sparse signal reconstruction from limited data using FOCUSS: A reweighted minimum norm algorithm. IEEE Trans. on Signal Processing, 45(3):600-616, 1997.
    • (1997) IEEE Trans. on Signal Processing , vol.45 , Issue.3 , pp. 600-616
    • Gorodnitsky, I.F.1    Rao, B.D.2
  • 7
    • 0036506135 scopus 로고    scopus 로고
    • Self-splitting competitive learning: A new on-line clustering paradigm
    • Y.-J. Zhang and Z.-Q. Liu. Self-splitting competitive learning: A new on-line clustering paradigm. IEEE Trans. on Neural Networks, 13(2):369-380, 2002.
    • (2002) IEEE Trans. on Neural Networks , vol.13 , Issue.2 , pp. 369-380
    • Zhang, Y.-J.1    Liu, Z.-Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.