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Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 684))

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Abstract

This chapter prepares the ground for the investigation of information transmitted by continuous signals in Chapter 10. Conceptually, the probability theory of continuous systems does not differ from the theory of discrete systems. The tools are, however, quite different, such as the theory of integral equations and of coordinate transformations.

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Reference

  1. A Stieltjes integral is of the form (math). For a Riemann integral (math), hence it takes the form (math) Apostol, 1957, p. 191.

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  2. Ivar Fredholm (1866–1927), a Swedish mathematician.

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  3. The further generalization to Lebesgue integrals over a probability space Papoulis, 1965, p. 141 will not be made here.

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  4. Also referred to as the “sorites paradox” Blackburn, 1996, p.357.

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© 2002 Springer Science+Business Media New York

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Kåhre, J. (2002). Continuous Systems. In: The Mathematical Theory of Information. The Springer International Series in Engineering and Computer Science, vol 684. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0975-2_9

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  • DOI: https://doi.org/10.1007/978-1-4615-0975-2_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5332-4

  • Online ISBN: 978-1-4615-0975-2

  • eBook Packages: Springer Book Archive

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