Digital Signal Processing Reference
In-Depth Information
167. J. Kennedy and R. Eberhart. Particle swarm optimization. In Proceedings of the
IEEE International Conference on Neural Networks , vol. 4, Washington, DC, 1995,
pp. 1942-1948.
168. K. H. Knuth. A Bayesian approach to source separation. In Proceedings of the First
International Workshop on Independent Component Analysis and Signal Separation
( ICA '99 ), Aussois, France, January 1999, pp. 283-288.
169. A. Kolmogorov. Grundbegriffe der Wahrscheinlichkeitsrechnung . Julius Springer,
Berlin, Germany, 1933.
170. A. N. Kolmogorov. Sur l'interpolation et l'extrapolation des suites stationnaires.
Comptes Rendus de l'Académie des Sciences , 208:2043-2045, 1939.
171. S. Kurita, H. Saruwatari, S. Kajita, K. Takeda, and F. Itakura. Evaluation
of frequency-domain blind signal separation using directivity pattern under
reverberant conditions. In Proceedings of the International Conference on Acous-
tics, Speech and Signal Processing ( ICASSP '00 ), Istanbul, Turkey, 2000, pp. 3140-
3143.
172. H. J. Kushner. Approximation and Weak Convergence Methods for Random Processes
with Applications to Stochastic Systems Theory . MIT Press, Cambridge, MA, 1984.
173. J.-L. Lacoume, P.-O. Amblard, and P. Comon. Statistiques d'Ordre Supérieur pour
le Traitement du Signal . (Traitement du Signal). Masson, Paris, 1997.
174. J.-L. Lacoume and P. Ruiz. Sources identification: A solution based on the cumu-
lants. In Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling,
1988 , Minneapolis, MA, August 1988, pp. 199-203.
175. P.-S. M. Laplace. Théorie Analytique des Probabilités . Courcier, Paris, France, 1812.
176. J. Leary. Least-squares multi-user CMArray: A new algorithm for blind adap-
tive beamforming. In Proceedings of IEEE 31st Asilomar Conference on Signals,
Systems and Computer , Pacific Grove, CA, November 1997, pp. 902-905.
177. D. D. Lee and H. S. Seung. Learning the parts of objects by nonnegative matrix
factorization. Nature , 401:708-791, 1999.
178. A. M. Legendre. Méthode des moindres quarrés, pour trouver le milieu le plus
probable entre les résultats de différentes observations. Mémorial Institute France ,
1:149-154, 1810.
179. Alberto Leon-Garcia. Probability and Random Processes for Electrical Engineering ,
2nd edn. Addison Wesley, Reading, MA, 1994.
180. N. Levinson. The Wiener RMS (root-mean-square) error criterion in filter design
and prediction. Journal of Mathematical Physics , 25:261-278, 1947.
181. B. C. Levy. Principles of Signal Detection and Parameter Estimation . Springer,
New York, 2008.
182. Y. Li, A. Cichocki, and S.-I. Amari. Sparse component analysis for blind source
separation with less sensors than sources. In Proceedings of the fourth International
Symposium on Independent Component Analysis and Blind Signal Separation ( ICA
2003 ), Kyoto, Japan, 2003, pp. 89-94.
183. Y. Li and Z. Ding. Convergence analysis of finite length blind adaptive
equalizers. IEEE Transactions on Signal Processing , 43(9):2120-2129, September
1995.
184. Y. Li and Z. Ding. Global convergence of fractionally spaced Godard (CMA)
adaptive equalizers. IEEE Transactions on Signal Processing , 44(4):818-826, April
1996.
185. Y. Li and J. Wang. Sequential blind extraction of instantaneously mixed sources.
IEEE Transactions on Signal Processing , 50(5):997-1006, May 2002.
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