Skip to main content

Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity

  • Chapter
  • First Online:
Information Theory for Electrical Engineers

Part of the book series: Signals and Communication Technology ((SCT))

  • 1160 Accesses

Abstract

In this chapter, we will study the entropy concept for continuous random variables. The capacity of both continuous and discrete channels will be inspected in details. The capacity formula for additive white Gaussian channel is to be derived and the factors that affects the capacity of the additive white Gaussian channel will be elaborated.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Orhan Gazi .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gazi, O. (2018). Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity. In: Information Theory for Electrical Engineers . Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-8432-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-8432-4_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8431-7

  • Online ISBN: 978-981-10-8432-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics