1 |
L. Garth, "A dynamic convergence analysis of blind equalization algorithms," IEEE Trans. on Comm., Vol. 49, pp. 624-634, April, 2001.
DOI
ScienceOn
|
2 |
F. Mazzenga, "Channel estimation and equalization for M-QAM transmission with a hidden pilot sequence," IEEE Trans. on Broadcasting, Vol. 46, pp. 170-176, June, 2000.
DOI
ScienceOn
|
3 |
J. Principe, D. Xu and J. Fisher, Information Theoretic Learning, in: S. Haykin, Unsupervised Adaptive Filtering, Wiley, New York, Vol. I, pp. 265-319, 2000.
|
4 |
D. Erdogmus, K. Hild, M. Lazaro, I. Santamaria, and J. Principe, "Aaptive Blind Deconvolution of Linear Channels Using Renyi's Entropy with Parzen Estimation," IEEE. Trans. on Signal Processing, Vol. 52, pp. 1489-1498, June, 2004.
DOI
ScienceOn
|
5 |
N. Kim and L. Yang, "A New Criterion of Information Theoretic Optimization and Application to Blind Channel Equalization," Journal of Korean Society for Internet Information, Vol. 10, No. 1, pp. 11-17, Feb. 2009.
과학기술학회마을
|
6 |
E. Parzen, "On the estimation of a probability density function and the mode," Ann. Math. Stat. Vol.33, p. 1065, 1962.
DOI
ScienceOn
|
7 |
S. Haykin, Adaptive Filter Theory, Prentice Hall, Upper Saddle River, 4th edition, 2001.
|