Digital Signal Processing Reference
In-Depth Information
REFERENCES
[1] R. Martin, “Noise power spectral density estimation based on optimal smoothing and
minimum statistics,”
IEEE Transactions of Speech and Audio Processing
, vol. 9, no. 5, pp.
504-512, July 2001.
[2] N. Grbic, X-J. Tao, S. E. Nordholm, and I. Claesson, “Blind signal separation using over-
complete subband representation,”
IEEE Transactions of Speech and Audio Processing,
vol. 9, no. 5, pp. 524-533, July 2001.
[3] J. M. Peterson and S. Kadambe, “A probabilistic approach for blind source separation of
underdetermined convolutive mixtures,” in
Proceedings ofthe ICASSP,
2003.
[4] P. Bofill and M. Zibulevsky, “Underdetermined blind source separation using sparse
representations,”
Signal Processing,
pp. 2353-2362, 2001.
[5] Te-Won Lee, Michael S. Lewicki, Mark Girolami, and Terrence J. Sejnowski, “Blind
source separation of more sources than mixtures using overcomplete representations,”
IEEE Signal Processing Letters,
vol. 6, no. 4, April 1999.
[6] L. Parra and C. Spence, “Convolutive blind separation of non-stationary sources,”
IEEE
Transactions of Speech and Audio Processing,
vol. 8, no. 3, May 2000.
[7] A. Ossadtchi and S. Kadambe, “Over-complete blind source separation by applying sparse
decomposition and information theoretic based probabilistic approach,” in
Proceedings of
the ICASSP,
2000.
[8] F. Asano and S. Ikeda, “Evaluation and real-time implementation of blind source
separation system using time-delayed decorrelation,” in
Proc. ICA,
Helsinki, 2000.
[9] B. A. Olshausen and D. J. Field, “Sparse coding with an overcomplete basis set: A strategy
employed by V1,” In Vision Research, vol. 37, pp. 3311-3325, 1997.
[10] P. E. Gill, W. Murray and M. H. Wright, Practical Optimization, Chapter 3, Academic
Press, 1981
[11] A. Prieto, B. Prieto, C. G. Puntonet, A. Canas and P. Martin-Smith, “Geometric
separation of linear mixtures of sources: application to speech signals,” Proceedings of the
ICA'99. pp. 295-300, January 1999.
[12] D. Kolossa, B. Kohler, M. Conrath and R. Oreglmeister, “Optimal permutation correction
by multi-objective genetic algorithms,” in Proceedings of ICA, San Diego, CA 2001.
