Ahlswede was originally motivated to study combinatorial aspects of Information Theory via zero-error codes: in this case the structure of the coding problems usually drastically changes from probabilistic to combinatorial. The best example is Shannon's zero error capacity, where independent sets in graphs have to be examined.
The extension to multiple access channels leads to the Zarankiewicz problem. A code can be regarded combinatorially as a hypergraph; and many coding theorems can be obtained by appropriate colourings or coverings of the underlying hypergraphs.
Free Information Theory Combinatorics And Search Theory In Memory Of Rudolf Ahlswede
Several such colouring and covering techniques and their applications are introduced in this book. Furthermore, codes produced by permutations and one of Ahlswede's favourite research fields -- extremal problems in Combinatorics -- are presented. Whereas the first part of the book concentrates on combinatorial methods in order to analyse classical codes as prefix codes or codes in the Hamming metric, the second is devoted to combinatorial models in Information Theory.
Here the code concept already relies on a rather combinatorial structure, as in several concrete models of multiple access channels or more refined distortions.
An analytical tool coming into play, especially during the analysis of perfect codes, is the use of orthogonal polynomials. Classical information processing concerns the main tasks of gaining knowledge and the storage, transmission and hiding of data.
The first task is the prime goal of Statistics. For transmission and hiding data, Shannon developed an impressive mathematical theory called Information Theory, which he based on probabilistic models.
- Gail Devers (Overcoming Adversity).
- Topological Methods in Algebraic Geometry: Reprint of the 1978 Edition.
- Welfare Economics: Towards a More Complete Analysis.
- كلمة دالة بحث!
- On Concepts of Performance Parameters for Channels - Semantic Scholar;
- The Boeing 747.
The theory largely involves the concept of codes with small error probabilities in spite of noise in the transmission, which is modeled by channels. The lectures presented in this work are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. More advanced researchers may find questions which form the basis of entire research programs.
- Three works of Vasubandhu in Sanskrit Manuscript;
- Desolation Point.
- R for Business Analytics!
- Handbook of Japanese Lexicon and Word Formation.
- Ingo Althöfer - Chessprogramming wiki?
- In Search of Truth: Augustine, Manichaeism and Other Gnosticism: Studies for Johannes Van Oort at Sixty.
A Review Mikhail B Malyutov. Estimating with Randomized Encoding the Joint Empirical. Identification Entropy Rudolf Ahlswede.
Monotonicity Checking Marina Kyureghyan. The Randomized Approach Stefano Carpin.
Combinatorial Models. Remarks on an Edge Isoperimetric Problem. Sparse Asymmetric Connectors in Communication Networks.
Problem Section. Some Problems in Organic Coding Theory. Two Problems from Coding Theory.