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MATH/MTHE 477/877
Data Compression and Source Coding
Winter 2017


Course Outline
Efficient transmission and storage of information is of critical importance in many branches of science and engineering. The means by which to achieve this is source coding (a.k.a. data compression), a discipline that studies the compact representation of information bearing signals (such as text, speech, still image, and video) for the purpose of storage or transmission. Source coding is part of the general theory of communication, and is closely related to and information theory, signal processing, as well as probability and random processes. In this course the fundamentals of the theory and practice of data compression will be studied. The following is a list of topics that will be covered in more or less detail.