Digital Signal Processing Reference
In-Depth Information
37. M. T ¨ chler, R. Kotter, and A. Singer, Turbo equalization: Principles and new results, IEEE
Trans. Communications , 50, pp. 754-767, (2002).
38. R. K¨ tter, A. C. Singer, and M. Tuchler, Turbo equalization, IEEE Signal Processing
Magazine , pp. 67-80, (2004).
39. S.-K. Lee, A. C. Singer, and N. R. Shanbhag, Linear turbo equalization analysis via BER
transfer and EXIT charts, IEEE Trans. Signal Processing , 53, pp. 2883-2897, (2005).
40. P. Supnithi, R. Lopes, and S. W. McLaughlin, Reduced-complexity turbo equalization for
high-density magnetic recording systems, IEEE Trans. Magnetics , 39, pp. 2585-2587,
(2003).
41. S. Jiang, L. Ping, H. Sun, and C. S. Leung, Modified LMMSE turbo equalization, IEEE
Communications Letters , 8, pp. 174-176, (2004).
42. F. R. Rad and J. Moon, Turbo equalization utilizing soft decision feedback, IEEE Trans.
Magnetics , 41, pp. 2998-3000, (2005).
43. R. R. Lopes and J. R. Barry, The soft-feedback equalizer for turbo equalization of highly
dispersive channels, IEEE Trans, Communications , 54, pp. 783-788, (2006).
44. T. M. Cover and J. A. Thomas, Elements of Information Theory . New York: Wiley, 2nd ed.,
2007.
45. W. L. Root and P. P. Varaiya, Capacity of classes of Gaussian channels, SIAM J. Applied
Mathematics , 16, pp. 1350-1393, (1968).
46. G. J. Foschsini and R. K. M¨ ller, The capacity of linear channels with additive Gaussian
noise, Bell System Technical J. , pp. 81-94, (1970).
47. R. A. Horn and C. R. Johnson, Matrix Analysis . Cambridge University Press, 1985.
48. I. Fijalkow, A. Roumy, S. Ronger, D. Perez, and P. Vila, “Improved interference cancella-
tion for turbo equalization,” in Proc. Int. Conf. Acoustics, Speech and Signal Processing ,
(Istanbul, Turkey), pp. 419-422, (2000).
49. G. Xu, H. Liu, L. Tong, and T. Kailath, A least-squares approach to blind channel identi-
fication, IEEE Trans. Signal Processing , 43, pp. 2981-2993, (1995).
50. Z. Ding, Matrix outer-product decomposition method for blind multiple channel identifi-
cation, IEEE Trans. Signal Processing , 45, pp. 3053-3061, (1997).
51. A. P. Liavas, P. A. Regalia, and J.-P. Delmas, On the robustness of the linear prediction
method for blind channel identification with respect to effective channel undermodeling /
overmodeling, IEEE Trans. Signal Processing , 48, pp. 1477-1481, (2000).
52. K. Abed-Meraim, E. Moulines, and P. Loubaton, Prediction error method for second-order
blind identification, IEEE Trans. Signal Processing , 45, pp. 694-705, (1997).
53. J.-P. Delmas, H. Gazzah, A. P. Liavas, and P. A. Regalia, Statistical analysis of some
second-order methods for blind channel identification / equalization with respect to channel
undermodeling, IEEE Trans. Signal Processing , 48, pp. 1984-1998, (2000).
54. E. Moulines, P. Duhamel, J.-F. Cardoso, and S. Mayrargue, Subspace methods for the blind
identification of multichannel FIR filters, IEEE Trans. Signal Processing , 43, pp. 516-525,
(1995).
55. L. A. Liporace, Maximum likelihood estimation for multivariate observations of Markov
sources, IEEE Trans. Information Theory , 28, pp. 729-734, (1982).
56. S. Amari, The EM algorithm and information geometry in neural network learning, Neural
Computation , 7, pp. 13-18, (1994).
 
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