Codes for Adversaries: Between Worst-Case and Average-Case Jamming
by Dey, Bikash Kumar
$83.46
Description
Over the last 70 years, information theory and coding have enabled communication technologies that have had an astounding impact on our lives. This is possible due to the match between encoding/decoding strategies and corresponding channel models. Traditional studies of channels have taken one of two extremes: Shannon-theoretic models are inherently average-case in which channel noise is governed by a memoryless stochastic process, whereas coding-theoretic (referred to as "Hamming") models take a worst-case, adversarial, view of the noise. However, for several existing and emerging communication systems, the Shannon/average-case view may be too optimistic, whereas the Hamming/worst-case view may be too pessimistic. This monograph takes up the challenge of studying adversarial channel models that lie between the Shannon and Hamming extremes.
Product Details
- Now Publishers Brand
- Dec 3, 2024 Pub Date:
- 1638284601 ISBN-10:
- 9781638284604 ISBN-13:
- English Language
- 306.0 pages Paperback
- 9.21 in * 0.64 in * 6.14 in Dimensions:
- 1 lb Weight:
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