Schedule
Document Actions
| No. | Topic | HTML | PS | |
| 1 | Introduction to Information Theory | HTML | PS | |
| 2 | Definitions and Basic Facts | HTML | PS | |
| 3 | Some More Bounds | HTML | PS | |
| 4 | Application of Information Theory to Blind Source Separation | HTML | PS | |
| 5 | The Asymptotic Equipartition Property | HTML | PS | |
| 6 | Entropy Rates | HTML | PS | |
| 7 | Data Compression | HTML | PS | |
| 8 | Arithmetic Coding | HTML | PS | |
| 9 | Channel Capacity | HTML | PS | |
| 10 | More on Channel Capacity | HTML | PS | |
| 11 | Differential Entropy | HTML | PS | |
| 12 | The Gaussian Channel | HTML | PS | |
| 13 | Bits and Queues | HTML | PS | |
| 14 | Maximum Entropy Estimation | HTML | PS |
Copyright 2008,
Todd Moon.
Cite/attribute Resource
.
admin. (2006, May 11). Schedule. Retrieved January 07, 2011, from Free Online Course Materials — USU OpenCourseWare Web site: http://ocw.usu.edu/Electrical_and_Computer_Engineering/Information_Theory/Schedule.html.
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