Special Topics in Information Sciences and Systems - Modern Coding Theory
Course describes how magnetic recording, packet data transmission and wireless communication have influenced code design and how error-correcting codes use memory and redundancy to achieve reliable transmission and storage. Course also connects classical coding theory to the emerging topic of compressive sensing which aims to capture attributes of signals using a small number of measurements.
Sample reading list:
K.A. Schouhamer Immink, Codes for Mass Data Storage Systems
Richard Blahut, Algebraic Codes for Data Transmission
David MacKay, Information Theory, Inference and Learning Algorithms
R.J. McEliece, Finite Fields for Computer Scientists and Engineers
Mid Term Exam - 30%
Design Project - 30%
Oral Presentation(s) - 10%
Problem set(s) - 30%
Not Open to Freshmen.
A good understanding of linear algebra and basic probability is needed. Some background in information theory would be very helpful.
|42150||L01||11:00 am - 12:20 pm||T Th||Friend Center of Engineering 203||Enrolled:6 Limit:25|