Blind source separation of signals with known alphabets using ε-approximation algorithms
Qingyu Li; Er-Wei Bai; Zhi Ding
Signal Processing, IEEE Transactions on
Volume 51, Issue 1, Jan. 2003 Page(s): 1 - 10
Digital Object Identifier   10.1109/TSP.2002.806561
Summary:We show that blind separation of signals in given alphabets can be formulated into a quadratic optimization problem with integer constraints. Then, efficient ε-approximation algorithms are applied to directly estimate the transmitted signals. The proposed approach does not require any high order statistics. Moreover, the algorithms converge to an ε neighborhood of the global optimum with polynomial computational complexity. Simulations show that the algorithm achieves satisfactory performance using a short length of data.

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