Abstract
There are two major approaches for Blind Signal Separation (BSS) problem: Maximum Entropy (ME) and Minimum Mutual Information (MMI) algorithms. Based on the recursive architecture and the relationship between the ME and MMI algorithms, an Extended ME(EME) algorithm is proposed by using probability density function (pdf) estimation of the outputs to deduce the corresponding iterative formulas in BSS. Based on the simulation results, it can be concluded that the proposed algorithm has better performances than the traditional ME algorithm in convolute mixture BSS problems.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
B. Widrow, S. Stearns, Adaptive Signal Processing, New York: Prentice-Hall, 1985, Chap 11.
S. V. Gerven, D. V. Compernolle, Signal separation by symmetric adaptive decorrelation: Stability convergence, and uniqueness, IEEE Trans on Signal Processing, 43(1995), 1602–1611.
A. J. Bell, T. J. Sejnowski, An information-maximization approach to blind separation and blind deconvolution, Neural Computation, 7(1995), 1129–1159.
P. Comon, Independent component analysis: A new concept? Signal Processing, 36(1994), 287–314.
S. Amari, A. Cichocki, H. H. Yang, A new learning algorithm for blind signal separation, In Advances in Neural Information Processing Systems, Cambridge, MA: MIT Press, 1996, 757–763.
K. Torkkola, Blind separation of convolved sources based on information maximization, In IEEE Workshop on Neural Networks for Signal Processing, Kyoto, Japan: 1996, 423–432.
H. H. Yang, S. Amari, Adaptive on-line learning algorithms for blind separation-maximum entropy and minimum mutual information, Neural Computation, 9(1997), 1457–1482.
A. Hyvarinen, New approximations of differential entropy for independent component analysis and projection pursuit, Technical Report A47, Helsinki Univ. of Technology, Lab. of Computer and Information Science, 1997.
Author information
Authors and Affiliations
About this article
Cite this article
Yu, X., Hu, G. Blind signal separation based on ME and statistical estimation. J. of Electron.(China) 16, 165–171 (1999). https://doi.org/10.1007/s11767-999-1038-7
Issue Date:
DOI: https://doi.org/10.1007/s11767-999-1038-7