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Articles:
1. E. W Barankin, Locally best unbiased estimates, Ann. Math. Stat., vol. 20, pp. 477-501, 1949.
2. A. Weiss and E. Weinstein, A lower bound on the mean square error in random parameter estimation, IEEE Trans. Info. Theory, vol. 31, no. 5, pp. 680-682, September 1985.
3. Ziv and M. Zakai, "Some lower bounds on signal parameter estimation," IEEE. Trans. Info. Theory, 180 vol. IT-15, no. 3, pp. 386-391, May 1969.
4. Weinstein, Ehud, and Anthony J. Weiss. "A general class of lower bounds in parameter estimation." Information Theory, IEEE Transactions on 34.2 (1988): 338-342.
5. Y. Rockah and P. M. Schultheiss, "Array shape calibration using sources in unknown locations-Part I: 347 far-field sources," IEEE Trans. Acoust., Speech Signal Process., vol. 35, no. 3, pp. 286-299, March 1987.
6. Y. Noam, and Hagit Messer. "Notes on the tightness of the hybrid Cramér–Rao lower bound." Signal Processing, IEEE Transactions on 57, no. 6 (2009): 2074-2084.
7. Cardoso, J-F. "Blind signal separation: statistical principles." Proceedings of the IEEE 86, no. 10 (1998): 2009-2025.
8. Comon, Pierre. "Independent component analysis, a new concept?." Signal processing 36, no. 3 (1994): 287-314.
9. Bell, Anthony J., and Terrence J. Sejnowski. "An information-maximization approach to blind separation and blind deconvolution." Neural computation 7.6 (1995): 1129-1159.
10. Cardoso, J-F. "Infomax and maximum likelihood for blind source separation."Signal Processing Letters, IEEE 4.4 (1997): 112-114.
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