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Using an Unreliable Channel

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Information and Coding Theory

Abstract

In this chapter, we assume that we are given an unreliable channel Γ, such as a BSC with P < 1, and that our task is to transmit information through Γ as accurately as possible. Shannon’s Fundamental Theorem, which is perhaps the most important result in Information Theory, states that the capacity C of Γ is the least upper bound for the rates at which one can transmit information accurately through Γ. After first explaining some of the concepts involved, we will look at a simple example of how this accurate transmission might be achieved. A full proof of Shannon’s Theorem is technically quite difficult, so for simplicity we will restrict the proof to the case where Γ is the BSC; we will give an outline proof for this channel in §5.4, postponing a more detailed proof to Appendix C.

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© 2000 Springer-Verlag London

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Jones, G.A., Mary Jones, J. (2000). Using an Unreliable Channel. In: Information and Coding Theory. Springer Undergraduate Mathematics Series. Springer, London. https://doi.org/10.1007/978-1-4471-0361-5_5

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  • DOI: https://doi.org/10.1007/978-1-4471-0361-5_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-622-6

  • Online ISBN: 978-1-4471-0361-5

  • eBook Packages: Springer Book Archive

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