The not so short introduction to Information Theory — Part 1

In order to talk about my research topic we need to set some ground rules regard­ing the sub­jects I am going to cover in this site. Of course I could set up a com­plete course on infor­ma­tion the­ory, con­vex opti­miza­tion and ran­dom processes just to talk about chan­nel capac­ity, but it’s not the idea.

In this post, I am going to cover some basic def­i­n­i­tions of the topic of infor­ma­tion the­ory. This is the first post of a three part series where I am going to cover the basic ideas behind dig­i­tal com­mu­ni­ca­tion (here), infor­ma­tion mea­sures and their role for study­ing com­mu­ni­ca­tion chan­nels (part 2), and source mod­els (part 3). This is, by no means a com­plete descrip­tion, but rather a sum­mary of the main def­i­n­i­tions and results.
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The birth of The Equivocation Post

The goal of The Equiv­o­ca­tion Post is to be a place to dis­cuss old and new results on  infor­ma­tion the­ory, com­mu­ni­ca­tions and sig­nal processing.

I present myself. My name is Patri­cio Parada, and cur­rently work as an instruc­tor (lec­turer) in the Depart­ment of Elec­tri­cal Engi­neer­ing at the Uni­ver­sity of Chile.
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