Asymptotic Estimates in Information Theory with Non-Vanishing Error Probabilities
Author:   Vincent Y. F. Tan ,  Aaron Roth
Publisher:   now publishers Inc
Volume:   11
ISBN:  

9781601988522


Pages:   208
Publication Date:   23 September 2014
Format:   Paperback
Availability:   In Print   Availability explained
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Asymptotic Estimates in Information Theory with Non-Vanishing Error Probabilities


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Author:   Vincent Y. F. Tan ,  Aaron Roth
Publisher:   now publishers Inc
Imprint:   now publishers Inc
Volume:   11
Dimensions:   Width: 15.60cm , Height: 1.10cm , Length: 23.40cm
Weight:   0.300kg
ISBN:  

9781601988522


ISBN 10:   1601988524
Pages:   208
Publication Date:   23 September 2014
Audience:   College/higher education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Table of contents Part I: Fundamentals 1. Introduction 2. Binary Hypothesis Testing Part II: Point-To-Point Communication 3. Source Coding 4. Channel Coding Part III: Network Information Theory 5. Channels with Random State 6. Distributed Lossless Source Coding 7. A Special Class of Gaussian Interference Channels 8. A Special Class of Gaussian Multiple Access Channels 9. Summary, Other Results, Open Problems Acknowledgements References

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