On-line adaptive algorithms in non-stationary environments using a modified conjugate gradient approach
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Shun-ichi Amari | Andrzej Cichocki | B. Orsier | Andrew D. Back | S. Amari | A. Cichocki | A. Back | B. Orsier | Andrzej Cichocki | Andrew D. Back
[1] Shun-ichi Amari,et al. A Theory of Adaptive Pattern Classifiers , 1967, IEEE Trans. Electron. Comput..
[2] M. Srinath,et al. Conjugate gradient techniques for adaptive filtering , 1992 .
[3] V. John Mathews,et al. A stochastic gradient adaptive filter with gradient adaptive step size , 1993, IEEE Trans. Signal Process..
[4] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[5] J. Príncipe,et al. Temporal decorrelation using teacher forcing anti-Hebbian learning and its application in adaptive blind source separation , 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.
[6] Shun-ichi Amari,et al. Self-adaptive neural networks for blind separation of sources , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.
[7] Jean-François Cardoso,et al. Equivariant adaptive source separation , 1996, IEEE Trans. Signal Process..
[8] Andreas Ziehe,et al. Adaptive On-line Learning in Changing Environments , 1996, NIPS.
[9] S.C. Douglas,et al. Multichannel blind deconvolution and equalization using the natural gradient , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.
[10] F. Ueng,et al. Adaptive VSS blind equalizers , 1997, IEEE Signal Processing Letters.
[11] Shun-ichi Amari,et al. Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.