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The Sampling Theorem and Shannon’s Formula

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Fourier Analysis and Applications

Part of the book series: Texts in Applied Mathematics ((TAM,volume 30))

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Abstract

Shannon’s formula is an interpolation formula that expresses the value f(t) of a signal at any time t in terms of its values f(na) at the discrete points na, n ∈ ℤ. The signal f is thus completely determined by the sampled signal af Δ a . This is what we had in mind when we mentioned in the last lesson that sampling does not destroy information. Since this property is patently false for arbitrary signals, some restrictive assumptions must be made about f. Our point of departure will be Poisson’s formula (37.7); thus the first assumption is that f is band limited.

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© 1999 Springer Science+Business Media New York

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Gasquet, C., Witomski, P. (1999). The Sampling Theorem and Shannon’s Formula. In: Fourier Analysis and Applications. Texts in Applied Mathematics, vol 30. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1598-1_38

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  • DOI: https://doi.org/10.1007/978-1-4612-1598-1_38

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7211-3

  • Online ISBN: 978-1-4612-1598-1

  • eBook Packages: Springer Book Archive

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