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Volumn , Issue , 2006, Pages 91-96

Towards adaptive blind extraction of post-nonlinearly mixed signals

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; NONLINEAR ANALYSIS; PARAMETER ESTIMATION; SIGNAL PROCESSING;

EID: 38949083824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2006.275528     Document Type: Conference Paper
Times cited : (19)

References (17)
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    • Technical report, Helsinki University of Technology, April
    • A.Hyvarinen and E.Oja. Independent component analysis: A tutorial. Technical report, Helsinki University of Technology, April 1999.
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  • 4
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    • Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity
    • Aug
    • A.I.Hanna and D. P. Mandic. Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity. IEEE Signal Processing Letters, 9:253-255, Aug 2002.
    • (2002) IEEE Signal Processing Letters , vol.9 , pp. 253-255
    • Hanna, A.I.1    Mandic, D.P.2
  • 6
    • 0033341734 scopus 로고    scopus 로고
    • Source separation in post-nonlinear mixtures
    • A.Taleb and C.Jutten. Source separation in post-nonlinear mixtures. IEEE transactions on Signal Processing, 47(10):2807-2820, 1999.
    • (1999) IEEE transactions on Signal Processing , vol.47 , Issue.10 , pp. 2807-2820
    • Taleb, A.1    Jutten, C.2
  • 7
    • 0039136599 scopus 로고
    • The nonlinear PCA learning rule and signal separation - mathematical analysis
    • Technical report, Helsinki University of Technology, Laboratory of Computer and information science, Finland, August
    • E.Oja. The nonlinear PCA learning rule and signal separation - mathematical analysis. Technical report, Helsinki University of Technology, Laboratory of Computer and information science, Finland, August 1995.
    • (1995)
    • Oja, E.1
  • 9
    • 0009652985 scopus 로고    scopus 로고
    • Non-linear independent component analysis using ensemble learning: Experiments and discussion
    • Technical report, Helsinki University of Technology, Neural Networks Research Centre
    • H.Valpola, X.Giannakopoulos. A.Honkela, and J.Karhunen. Non-linear independent component analysis using ensemble learning: Experiments and discussion. Technical report, Helsinki University of Technology, Neural Networks Research Centre, 2000.
    • (2000)
    • Valpola, H.1    Giannakopoulos, X.2    Honkela, A.3    Karhunen, J.4
  • 10
    • 38949120712 scopus 로고    scopus 로고
    • A normalised kurtosis based algorithm for blind source extraction from noisy measurements
    • W. Liu and D. P. Mandic. A normalised kurtosis based algorithm for blind source extraction from noisy measurements. Signal Processing (In press).
    • Signal Processing (In press)
    • Liu, W.1    Mandic, D.P.2
  • 11
    • 0002308310 scopus 로고
    • Adaptive blind separation of independent sources: A deflation approach
    • N.Delfosse and P.Loubaton. Adaptive blind separation of independent sources: A deflation approach. Signal Processing, 49:59-83, 1995.
    • (1995) Signal Processing , vol.49 , pp. 59-83
    • Delfosse, N.1    Loubaton, P.2
  • 13
    • 0036699905 scopus 로고    scopus 로고
    • On a new blind signal extraction algorithm: Different criteria and stability analysis
    • August
    • S.A.Cruces-Alvarez, A.Cichoki, and S.I.Amari. On a new blind signal extraction algorithm: Different criteria and stability analysis. IEEE Signal Processing Letters, 9:233-236, August 2002.
    • (2002) IEEE Signal Processing Letters , vol.9 , pp. 233-236
    • Cruces-Alvarez, S.A.1    Cichoki, A.2    Amari, S.I.3
  • 14
    • 0000396062 scopus 로고    scopus 로고
    • Natural gradient works efficiently in learning
    • Jan
    • S.Amari. Natural gradient works efficiently in learning. In Neural Computation, volume 10, pages 251-276, Jan 1998.
    • (1998) Neural Computation , vol.10 , pp. 251-276
    • Amari, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.