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非線性混疊信號(hào)的可分離性及分離方法研究

劉琚 聶開(kāi)寶 何振亞

劉琚, 聶開(kāi)寶, 何振亞. 非線性混疊信號(hào)的可分離性及分離方法研究[J]. 電子與信息學(xué)報(bào), 2003, 25(1): 54-61.
引用本文: 劉琚, 聶開(kāi)寶, 何振亞. 非線性混疊信號(hào)的可分離性及分離方法研究[J]. 電子與信息學(xué)報(bào), 2003, 25(1): 54-61.
Liu Ju, Nie Kaibao, He Zhenya. On separability and separating method of nonlinear mixed signals[J]. Journal of Electronics & Information Technology, 2003, 25(1): 54-61.
Citation: Liu Ju, Nie Kaibao, He Zhenya. On separability and separating method of nonlinear mixed signals[J]. Journal of Electronics & Information Technology, 2003, 25(1): 54-61.

非線性混疊信號(hào)的可分離性及分離方法研究

On separability and separating method of nonlinear mixed signals

  • 摘要: 該文分析了非線性混疊信號(hào)的可分離性及分離條件,指出現(xiàn)階段非線性混疊信號(hào)盲分離的局限性。將Edgeworth展開(kāi)代入信息后向傳輸算法中,通過(guò)一種新的自適應(yīng)累積量估計(jì)方法,克服了原算法指出的Edgeworth展開(kāi)在盲信號(hào)分離中的缺限。計(jì)算機(jī)仿真結(jié)果表明了所提算法在特定非線性混疊模型信號(hào)分離的效果,我們還對(duì)不同的方法進(jìn)行了分析對(duì)比,指出了累積量對(duì)不同算法的影響。
  • C. Jutten, J. Herault, Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic, Signal Processing, 1991, 24(1), 1-10. [2]A.J. Bell, T. J. Sejnowski, An information-maximization approach to blind separation and blind deconvolution, Neural Computation, 1995, 7(6), 1129-1159. [3]S. Amari, A. Cichocki, H. H. Yang, A new learning algorithm for blind signal separation, Advances in Neural Information Processing Systems, Cambridge, MA: MIT Press, 1996, 8, 657-663. [4]G. Burel, Blind separation of sources: A nonlinear neural algorithm, Neural Networks, 1992, 5(6),937-947. [5]L.C. Parra, Symplectic nonlinear component analysis, Advances in Neural Information Processing Systems, MA: MIT Press, 1996, 8,437-443. [6]P. Pajunen, A. Hyvarinen, J. Karhunen, Nonlinear blind source separation by self-organization maps, in Progress in Neural Information Processing, Berlin, Springer, 1996, 2, 1207-1210. [7]H.H. Yang, S. Amari, A. Cichocki, Information back-propagation for blind separation of sources from non-linear mixture, in Proc. ICNN, Houston, 1997, 2141-2146. [8]A. Taleb, C. Jutten, Source separation in post nonlinear mixtures: An entropy-based algorithm,in Proc. of ICASSP, Seattle, Washington, 1998, 2089-2092. [9]A. Hyvarinen, P. Pajunen, On existence and uniqueness of solutions in non-linear independent component analysis, in Proc. of IJCNN, Anchorage, Alaska, 1998, 1350-1355. [10]C. Goncalo, L. B. Almeida, Separation of nonlinear mixtures using pattern repulsion, in Proc.of the First International Workshop on Independent Component Analysis and Signal Separation,Aussois, France, 1999, 277-282. [11]S.M. Kendall, A. Stuart, The Advanced Theory of Statistics, London, Charles Griffin Company Limited, 1977, Chapt. 6. [12]O. Amblard, J. M. Brossier, Adaptive estimation of the fourth-order cumulant of a white stochastic process, Signal Processing, 1995, 42(1), 37-42.
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出版歷程
  • 收稿日期:  2001-07-12
  • 修回日期:  2002-01-07
  • 刊出日期:  2003-01-19

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