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Understanding Channel Coding and Capacity in Information Theory

Understanding Channel Coding and Capacity in Information Theory

Enrolled5-6 Hours (Contains Video)
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  • Advanced Level

Understanding Channel Coding and Capacity in Information Theory

Learn about the significance of codes in transmitting information reliably with this free online programming course.

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Understanding Channel Coding and Capacity in Information Theory
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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

Knowledge & skills you will learn

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