Digital Signal Processing Reference
In-Depth Information
[11] Sato, Y. 1975. A method of self-recovering equalization for multilevel amplitude-
modulation systems. IEEE Trans. Commun. 23:679-82.
[12] Godard, D. N. 1980. Self-recovering equalization and carrier tracking in two-
dimensional data communication systems. IEEE Trans. Commun. 28:1867-75.
[13] Treichler, J. R., and Agee, B. G. 1983. A new approach to multipath correction
of constant modulus signals. IEEE Trans. Acoustics Speech Signal Processing
31:459-72.
[14] Foschini, G. J. 1985. Equalizing without altering or detecting data. AT&T Tech. J.
64:1885-911.
[15] Treichler, J. R., Larimore, M. G., and Harp, J. C. 1998. Practical blind demodula-
tors for high-order QAM signals. Proc. IEEE 86:1907-26.
[16] Qureshi, S. 1985. Adaptive equalization. Proc. IEEE 73:1349-87.
[17] Sethares, W. A. 1992. Adaptive algorithms with nonlinear data and error func-
tions. IEEE Trans. Signal Processing 40:2199-206.
[18] Duttweiler, D. L. 2000. Proportionate normalized least-mean-squares adaptation
in echo cancellers. IEEE Trans. Speech Audio Processing 8:508-18.
[19] Walach, E., and Widrow, B. 1984. The least mean fourth (LMF) adaptive algorithm
and its family. IEEE Trans. Inf. Theory 30:275-83.
[20] Hübscher, P. I., Nascimento, V. H., and Bermudez, J. C. M. 2003. New results on
the stability analysis of the LMF (least mean fourth) adaptive algorithm. In Pro-
ceedings of the International Conference on Acoustics, Speech, and Signal Process-
ing , vol. VI, pp. 369-72.
[21] Sethares, W. A., Rey, G. A., and Johnson, Jr., C. R. 1989. Approaches to blind equal-
ization of signals with multiple modulus. In Proceedings of the International Con-
ference on Acoustics, Speech, and Signal Processing , vol. 2, pp. 972-75.
[22] Banovic, K., Abdel-Raheem, E., and Khalid, M. A. S. 2005. Hybrid methods for
blind adaptive equalization: New results and comparisons. In Proceedings of the
IEEE Symposium on Computers and Communications , pp. 275-80.
[23] Thaiupathump, T., and Kassam, S. A. 2003. Square contour algorithm: A new algo-
rithm for blind equalization and carrier phase recovery. In Proceedings of the 37th
Asilomar Conference on Signals, Systems, and Computers , vol. 1, pp. 647-51.
[24] Goupil, A., and Palicot, J. 2007. New algorithms for blind equalization: The con-
stant norm algorithm family. IEEE Trans. Signal Processing 55:1436-44.
[25] Li, X.-L., and Zhang, X.-D. 2006. A family of generalized constant modulus algo-
rithms for blind equalization. IEEE Trans. Commun. 54:1913-17.
[26] Abrar, S., and Qureshi, I. M. 2006. Blind equalization of cross-QAM signals. IEEE
Signal Processing Lett. 13:745-48.
[27] Johnson, Jr., C. R., et al. 1998. Blind equalization using the constant modulus cri-
terion: A review. Proc. IEEE 86:1927-50.
[28] Johnson, Jr., C. R., et al. 2000. The core of FSE-CMA behavior theory. In Unsuper-
vised adaptive filtering: Blind deconvolution , ed. S. Haykin, pp. 13-112. Vol. II. New
York: Wiley.
[29] Haykin, S. 2002. Adaptive filter theory . 4th ed. Upper Saddle River, NJ: Prentice-Hall.
[30] Stamoulis, A., Diggavi, S. N., and Al-Dhahir, N. 2002. Intercarrier interference in
MIMO OFDM. IEEE Trans. Signal Processing 50:2451-64.
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