A fast blind SIMO channel identification algorithm for sparse sources

IEEE Signal Processing Letters

Volumn 10, Issue 5, 2003, Pages 148-151

  Luengo, David ^a   Santamaría, Ignacio ^a   Ibáñez, Jesús ^a   Vielva, Luis ^a   Pantaleón, Carlos ^a  

^a UNIVERSITY OF CANTABRIA   (Spain)

Author keywords

Blind channel identification; Blind source separation (BSS); Sparse deconvolution

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; FIR FILTERS; MATRIX ALGEBRA;

CHANNEL IDENTIFICATION; CHANNEL MATRIX; SINGLE INPUT MULTIPLE OUTPUT SYSTEM; SPARSE DECONVOLUTION;

BLIND SOURCE SEPARATION;

EID: 0038681935     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2003.810014     Document Type: Article

References (9)

1. L. Tong, G. Xu, and T. Kailath, "Blind identification and equalization of multipath channels," in Proc. 25th Asilomar Conf. Acoustics, Speech and Signal Processing, May 1995, pp. 1964-1967.
2. E. Moulines, P. Duhamel, J. F. Cardoso, and S. Mayrargue, "Subspace methods for the blind identification of multichannel FIR filters," IEEE Trans. Signal Processing, vol. 43, pp. 516-525, Feb. 1995.
3. K. Abed-Meraim, E. Moulines, and P. Loubaton, "Prediction error methods for second-order blind identification," IEEE Trans. Signal Processing, vol. 45, pp. 694-705, Mar. 1997.
4. M. I. Gurelli and C. L. Nikias, "EVAM: An eigenvector-based algorithm for multichannel blind deconvolution of input colored signals," IEEE Trans. Signal Processing, vol. 43, pp. 134-149, Jan. 1995.
5. T. W. Lee, M. S. Lewicki, M. Girolami, and T. J. Sejnowski, "Blind source separation of more sources than mixtures using overcomplete representations," IEEE Signal Processing Lett., vol. 6, pp. 87-90, Apr. 1999.
6. P. Bofill and M. Zibulevsky, "Underdetermined blind source separation using sparse representations," Signal Processing, vol. 81, no. 11, pp. 2353-2362, Nov. 2001.
7. D. Erdogmus, L. Vielva, and J. C. Principe, "Nonparametric estimation and tracking of the mixing matrix for underdetermined blind source separation," in Proc. 3rd Int. Conf. Independent Component Analysis and Signal Separation, San Diego, CA, Dec. 9-13, 2001, pp. 189-193.
8. J. M. Mendel, Maximum Likelihood Deconvolution. New York: Springer-Verlag, 1990.
9. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993.