Digital Signal Processing Reference
In-Depth Information
297. P. P. Vaidyanathan. The Theory of Linear Prediction . Morgan & Claypool Publish-
ers, San Rafael, CA, 2008.
298. H. Valpola. Nonlinear independent component analysis using ensemble
learning: Theory. In Proceedings of the International Workshop on Independent
Component Analysis and Blind Signal Separation ( ICA 2000 ), Finlandia, 2000,
pp. 251-256.
299. H. Valpola and P. Pajunen. Fast algorithms for Bayesian independent com-
ponent analysis. In Proceedings of the Second International Workshop on Indepen-
dent Component Analysis and Blind Signal Separation , Helsinki, Finland 2000,
pp. 233-237.
300. A. Viterbi. Error bounds for convolutional codes and an asymptotically opti-
mum decoding algorithm. IEEE Transactions on Information Theory , 13(2):260-
269, April 1967.
301. E. Walach and B. Widrow. The least mean fourth (LMF) adaptive algorithm
and its family. IEEE Transactions on Information Theory , IT-30(2):275-283, March
1984.
302. P. J. Werbos. Beyond regression: New tools for prediction and analysis in the
behavioral sciences. PhD thesis, Harvard University, Cambridge, MA, 1974.
303. B. Widrow and M. E. Hoff, Jr. Adaptive switching circuits. IRE WESCON
Convention Record , 4:96-104, 1960.
304. B. Widrow and S. D. Stearns. Adaptive Signal Processing . Prentice Hall,
Englewood Cliffs, NJ, 1985.
305. N. Wiener. Extrapolation, Interpolation, and Smoothing of Stationary Time Series .
Wiley, New York, 1949.
306. N. Wiener and W. Hopf. Uber eine klasse singularer integraleichunger. Sitz.
Akademie Wissenschaft , Berlin, Germany, 1931, pp. 696-706.
307. R. A. Wiggins. Minimum entropy deconvolution. Geoexploration , 16:21-35,
1978.
308. D. H. Wolpert and W. G. Macready. No free lunch theorems for optimization.
IEEE Transactions on Evolutionary Computation , 1(1):67-82, April 1997.
309. S. An, Y. Hua, and Y. Xiang. Blind identification and equalization of FIR MIMO
channels by BIDS. In Proceedings of the IEEE International Conference on Acous-
tics, Speech, and Signal Processing , Salt Lake City, UT, May 2001, pp. 2157-
2160.
310. H. H. Yang, S.-I. Amari, and A. Cichocki. Information-theoretic approach to
blind separation of sources in non-linear mixture. Signal Processing , 64:291-300,
1998.
311. D. Yellin and E. Weinstein. Criteria for multichannel signal separation. IEEE
Transactions on Signal Processing , 42(8):2158-2168, August 1994.
312. H. H. Zeng, L. Tong, and C. R. Johnson, Jr. Relationships between the con-
stant modulus and Wiener receivers. IEEE Transactions on Information Theory ,
44(4):1523-1538, July 1998.
313. H. H. Zeng, L. Tong, and C. R. Johnson, Jr. An analysis of constant modulus
receivers. IEEE Transactions on Signal Processing , 47(11):2990-2999, November
1999.
314. Y. Zhanga, X. Shia, and C. H. Chenb. A Gaussian mixture model for underde-
termined independent component analysis. Signal Processing , 86(7):1538-1549,
July 2006.
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