Fundamentals in Information Theory and Coding

[hendral]

We call information “any message that brings a specification in a problem which involves a certain degree of uncertainty”.
Information has sense only when involves two correspondents: one generating it (the information source S) and another receiving it (the destination D, or the user U). Information can be transmitted at distance or stored (memorized) for later reading.
The information source can be discrete (digital source), or continuous (signal source). The discrete source generates a finite number of symbols (e.g. 0 and 1 used in digital communications) while the continuous source, an infinite number of symbols (e.g. voice, television signal, measurement and control signals).

Contents
1 Information Transmission Systems
2 Statistical and Informational Model of an ITS
3 Source Coding
4 Cryptography Basics
5 Channel Coding
Appendix A: Algebra Elements
Appendix B: Tables for Information and Entropy Computing
Appendix C: Signal Detection Elements
Appendix D: Synthesis Example


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