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Identification and Other Probabilistic Models: Rudolf Ahlswede’s Lectures on Information Theory 6 (Foundations in Signal Processing, Communications and Networking, 16) by Rudolf Ahlswede, Alexander Ahlswede (editor), Ingo Althöfer (editor), Christian Deppe (editor), Ulrich Tamm (editor) is a nonfiction available to read on EtoBox.

What is Identification and Other Probabilistic Models: Rudolf Ahlswede’s Lectures on Information Theory 6 (Foundations in Signal Processing, Communications and Networking, 16) about?

The sixth volume of Rudolf Ahlswede's lectures on Information Theory is focused on Identification Theory. In contrast to Shannon's classical coding scheme for the transmission of a message over a noisy channel, in the theory of identification the decoder is not really interested in what the received message is, but only in deciding whether a message, which is of special interest to him, has been sent or not. There are also algorithmic problems where it is not necessary to calculate the solution, but only to check whether a certain given answer is correct. Depending on the problem, this answer might be much easier to give than finding the solution. ``Easier'' in this context means using fewer resources like channel usage, computing time or storage space. Ahlswede and Dueck's main result was that, in contrast to transmission problems, where the possible code sizes grow exponentially fast with block length, the size of identification codes will grow doubly exponentially fast. The theory of identification has now developed into a sophisticated mathematical discipline with many branches and facets, forming part of the Post Shannon theory in which Ahlswede was one of the leading experts.

Who reads Identification and Other Probabilistic Models: Rudolf Ahlswede’s Lectures on Information Theory 6 (Foundations in Signal Processing, Communications and Networking, 16)?

Author

Rudolf Ahlswede, Alexander Ahlswede (editor), Ingo Althöfer (editor), Christian Deppe (editor), Ulrich Tamm (editor)

Publisher

Springer International Publishing AG

Published

2021

Language

EN

ISBN

9783030650711

Category

nonfiction

Subjects

Mathematics, Science, Computer Science