References

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  2. D.E. Johnson, Applied Multivariate Methods for Data Analysts, Duxbury Press, Pacific Grove,California, 1998.

  3. S. Balakrishnama and A. Ganapathiraju, "Linear Discriminant Analysis," http://www.cavs.msstate.edu/research/isip/publications/reports/isip_internal/1998/ linear_discrim_analysis, Institute for Signal and Information Processing,Mississippi State University, March 2, 1998.

  4. S. Balakrishnama, A. Ganapathiraju and J.Picone, "Linear Discriminant Analysis," Proceedings of the IEEE Southeastcon, pp. 78-81, Lexington, Kentucky, USA, March 1999.

  5. N. Kumar and A.G. Andreou, "Generalization of linear discriminant analysis within the maximum likelihood framework," Proceedings of the Joint Statistical Meeting of the American Statistics Association, Chicago, IL, USA, August 1996.

  6. T. Bell, "Source Separation and Learning non-orthogonal Bases for Signals Using Independent Component Analysis", technical paper, John Hopkins University, Baltimore, 1998.

  7. R.J Schalkoff, Pattern Recognition: Statistical, Structural and Neural Approaches, John Wiley & Sons Inc., New York, 1992.

  8. G. Doddington, "Phonetically sensitive discriminants for improved speech recognition " Proceedings of the International Conference on Acoustics, Speech and Signal Processing, Glasgow, Scotland, May 1989.