Digital Signal Processing Reference
In-Depth Information
280. A. Taleb and C. Jutten. Nonlinear source separation: The post-nonlinear mix-
tures. In
Proceedings of the ESANN
, Bruges, Bélgica, 1997.
281. A. Taleb and C. Jutten. Source separation in post-nonlinear mixtures.
IEEE
Transactions on Signal Processing
, 47(10):2807-2820, October 1999.
282. S. Theodoridis, C. M. S. See, and C. F. N. Cowan. Nonlinear channel equalization
using clustering techniques. In
Proceedings of the IEEE International Conference on
Communications
(
ICC '92
), vol. 3, Chicago, IL, June 1992, pp. 1277-1279.
283. C. W. Therrien.
Discrete Random Signals and Statistical Signal Processing
(Prentice-
Hall Signal Processing Series). Prentice-Hall International, Englewood Cliffs,
NJ, 1992.
284. E. J. Thomas. Some considerations on the application of the volterra represen-
tation of nonlinear networks to adaptive echo cancellers.
Bell System Technical
Journal
, 50:2799-2805, 1971.
285. J. Thomas, Y. Deville, and S. Hosseini. Time-domain fast fixed-point algorithms
for convolutive ICA.
IEEE Signal Processing Letters
, 13(4):228-231, 2006.
286. L. Tong, Ruey wen Liu, and V. C. Soon. Indeterminacy and identifiability of
blind identification.
IEEE Transactions on Circuits and Systems
, 38(5):499-509,
May 1991.
287. L. Tong, G. Xu, and T. Kailath. A new approach to blind identification and
equalization of multipath channels. In
Proceedings of the 25th Asilomar Confer-
ence on Signals, Systems and Computers
, vol. 2, Piscataway, NJ, November 1991,
pp. 856-860.
288. L. Tong, G. Xu, and T. Kailath. Fast blind equalization via antenna arrays. In
Pro-
ceedings IEEE International Conference on Acoustics, Speech and Signal Processing,
(
ICASSP '93
), Minneapolis, MN, April 1993, pp. 272-275.
289. L. Tong, G. Xu, and T. Kailath. Blind identification and equalization based
on second-order statistics: A time domain approach.
IEEE Transactions on
Information Theory
, 40(2):340-349, March 1994.
290. K. Torkkola. Blind separation of convolved sources based on information max-
imization. In
Proceedings of the IEEE Workshop on Neural Networks for Signal
Processing
, Kyoto, Japan, 1996, pp. 1-10.
291. K. Torkkola. Blind separation of delayed and convolved sources
Unsuper-
vised Adaptive Filtering
volume I:
Blind Source Separation
. John Wiley & Sons,
New York, 2000, pp. 321-375, Chapter 8.
292. J. R. Treichler and B. G. Agee. A new approach to multipath correction of con-
stant modulus signals.
IEEE Transactions on Adaptive Speech and Signal Processing
,
ASSP-31(4):349-472, April 1983.
293. J. K. Tugnait. Comments on “New criteria for blind deconvolution of non-
minimum phase systems (channels)”.
IEEE Transactions of Information Theory
,
38(1):210-213, January 1992.
294. J. K. Tugnait. On blind separation of convolutive mixtures of independent linear
signals. In
Proceedings of the 8th Workshop on Statistical Signal and Array Processing
,
Corfu, Greece, 24-26 June 1996, pp. 312-315.
295. J. K. Tugnait. Adaptive blind separation of convolutive mixtures of independent
linear signals.
Signal Processing
, 73:139-152, 1999.
296. J. K. Tugnait. On linear predictors for MIMO channels and related blind
identification and equalization.
IEEE Signal Processing Letters
, SPL-5:289-291,
November 1998.