Resources | Information Theory | Electrical Engineering and Computer Science

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Assignments

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108 kB

6.441S16: Problem Set 1

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227 kB

6.441S16: Problem Set 10

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221 kB

6.441S16: Problem Set 11

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112 kB

6.441S16: Problem Set 2

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107 kB

6.441S16: Problem Set 3

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133 kB

6.441S16: Problem Set 4

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139 kB

6.441S16: Problem Set 5

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109 kB

6.441S16: Problem Set 6

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248 kB

6.441S16: Problem Set 7

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275 kB

6.441S16: Problem Set 8

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Exams

6.441S16: Final

6.441S16: Midterm Exam

Lecture Notes

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588 kB

6.441S16: Chapter 1: Information Measures: Entropy and Divergence

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632 kB

6.441S16: Chapter 10: Binary Hypothesis Testing

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721 kB

6.441S16: Chapter 11: Hypothesis Testing Asymptotics I

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612 kB

6.441S16: Chapter 12: Information Projection and Large Deviation

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2 MB

6.441S16: Chapter 13: Hypothesis Testing Asymptotics II

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569 kB

6.441S16: Chapter 14: Channel Coding

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550 kB

6.441S16: Chapter 15: Channel Coding: Achievability Bounds

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754 kB

6.441S16: Chapter 16: Linear Codes. Channel Capacity

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949 kB

6.441S16: Chapter 17: Channels with Input Constraints. Gaussian Channels.

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571 kB

6.441S16: Chapter 18: Lattice Codes (by O. Ordentlich)

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Course Info

Instructor

Prof. Yury Polyanskiy

Departments

Electrical Engineering and Computer Science

As Taught In

Spring 2016

Level

Graduate

Topics

Learning Resource Types

Problem Sets

Lecture Notes

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