
Understanding Channel Coding and Capacity in Information Theory
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Understanding Channel Coding and Capacity in Information Theory
Learn about the significance of codes in transmitting information reliably with this free online programming course.
Confident you have the skills to certify without completing the course content?
- Enrolled
Positive Ratings
- Avg. Duration5-6 Hours (Contains Video)
- Available Languages (1)
English
This course is
CPD-Accredited
Learning Outcomes
In this free course, you will learn how to:
- Outline the concept of channel coding
- Discuss the basic properties of the repetition code
- Describe the notion of the channel capacity
- Explain the various channels of communication problem
- Identify the relationship between channel capacity and Shannon’s channel coding theorem
- Describe the different proofs of the channel coding theorem
- Outline the concept of the Gaussian channel
- Describe the notions of the discrete-time and additive Gaussian noise channel
- Discuss the basic properties of channel coding theorem for Gaussian channel
- Explain the converse and achievability proofs of the channel coding theorem
- Identify the relationship between parallel Gaussian channels and the water-filling argument
Course Overview
About This Course
Course Description
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