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Discuss ch 9 of "Elements of Information Theory" [series meeting]

Here's a popular text in Information Theory which goes into some detail on data compression and communication channels. Definitely a good one to read through!
http://www.amazon.com/Elements-Information-Theory-Telecommunications-Processing/dp/0471062596

When you RSVP, please email your full name to [masked].   If we host at my work again, we'll need your name to put you on the list to get through security.  Don't forget to bring ID!

We'll review chapter 9 on the gaussian channel, and work through some problems.

Would anyone like to volunteer to present a problem?  Let us know in the comments!  I'll read through the problems, and suggest a few that look interesting.  Feel free to do the same!  We'll present solutions and discuss the material at the next meet up.

 Recommended Prerequisites:

Probability theory: (moderate level) Joint distributions and marginalization; conditioning; Bayes' Theorem; Law of Large Numbers, Asymptotic Equipartition Property

• Analysis: (beginner to moderate level) Know what a set is; know what a logarithm is; understand the basic ideas of proofs

Calculus (moderate level) be able to take integrals, and understand the relationship between infinite sums and integrals.

• Chs. 1 - 8 -- we're getting fairly pre-requisite dependent now, until we get into the stats part later on.

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