PolyU HK

PolyU OER Portal

PolyU Library

PolyU OER Portal

Courseware

Information Theory

This is a graduate-level introduction to mathematics of information theory. We will cover both classical and modern topics, including information entropy, lossless data compression, binary hypothesis testing, channel coding, and lossy data compression.

Author:

Polyanskiy, Yury

Affiliation:

Massachusetts Institute of Technology

Year:

2016

Language:

English

Publisher:

MIT OpenCourseWare

Subjects:

Study Level:

Graduate

MIT Course as taught in: Spring 2016

Add a tag

view resource

License

Creative Commons BY-NC-SA Attribution-NonCommercial-ShareAlike 4.0 International

You may also be interested in: VIEW MORE

oer v1

PAIR Seminar: what myths have been disrupted about AI in the last two years?

oer v1

PAIR Seminar: human-centred intelligent robotics: case studies, lessons learnt, and opportunities

Emerging Technology, Disruption, and AI

Emerging Technology, Disruption, and AI

How will businesses use the metaverse?

How will businesses use the metaverse?

What is the Metaverse, exactly?

What is the Metaverse, exactly?

Metaverse Explained in 6 Minutes | What Is Metaverse and How Does It Work? | Simplilearn

Metaverse Explained in 6 Minutes | What Is Metaverse and How Does It Work? | Simplilearn

Privacy Statement Contact Us Web Accessibility Pao Yue-kong Library, The Hong Kong Polytechnic University. All Rights Reserved.