• Jeff Calder
  • February 9, 1 PM
  • 3866 East Hall
Information theory provides a way to quantify information and
study the fundamental limits of data compression.  Applications of
information theory can be found in almost any lossless or lossy
compression algorithm (e.g., zip, mp3, jpeg, divx, H2.64 and so on).  In
this talk, I will introduce the notion of entropy and show how it is
related to the fewest number of bits needed for storage or communication
of information.  If there is time, I may talk about Huffman codes as