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Decomposition of Signals and Information Theory

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Condensed Matter Theories

Part of the book series: Condensed Matter Theories ((COMT,volume 7))

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Abstract

We discuss a method that is able to determine, with the help of the Maximum Entropy Principle, the detailed nature of a complex signal that can be conceived as a linear superposition of independent, elementary signals. The physical relevance of this decomposition is discussed.

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References

  1. - C.E. Shannon, Proc. IRE 37 (1949) 1

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  2. - A. Plastino, L. Rebollo Neira, A.G. Alvarez, Phys. Rev. A40 (1989) 1644

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  3. - E.T. Jaynes, “The Maximum Entropy Formalism” edited by R.D. Levine and M. Tribus (MIT, Boston, 1979)

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  4. - R. Balian, Y. Alhassid, H. Reinhardt, Phys. Rep. Vol 131 (1986)

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© 1992 Springer Science+Business Media New York

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Plastino, A., Neira, L.R., Zyserman, F. (1992). Decomposition of Signals and Information Theory. In: Proto, A.N., Aliaga, J.L. (eds) Condensed Matter Theories. Condensed Matter Theories, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3352-8_8

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  • DOI: https://doi.org/10.1007/978-1-4615-3352-8_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6478-8

  • Online ISBN: 978-1-4615-3352-8

  • eBook Packages: Springer Book Archive

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