The book is currently out of stock

Probabilistic Methods and Distributed Information
Rudolf Ahlswedes Lectures on Information Theory 5
Authors
More about the book
Focusing on arbitrarily varying channels (AVC), this volume showcases Rudolf Ahlswede's expertise in Information Theory. It includes a survey on AVC and wiretap channels by Holger Boche and Ahmed Mansour. The book also covers continuous data compression and extensively discusses distributed information, highlighting key topics like "multiple descriptions" and "network coding," where Ahlswede made significant contributions. The final section addresses statistical inference under communication constraints, based on a highly acclaimed joint paper with Imre Csiszar.
Book purchase
Probabilistic Methods and Distributed Information, Rudolf Ahlswede
- Language
- Released
- 2019
- product-detail.submit-box.info.binding
- (Hardcover)
We’ll notify you via email once we track it down.
Payment methods
- Title
- Probabilistic Methods and Distributed Information
- Subtitle
- Rudolf Ahlswedes Lectures on Information Theory 5
- Language
- English
- Authors
- Rudolf Ahlswede
- Publisher
- Springer International Publishing
- Released
- 2019
- Format
- Hardcover
- Pages
- 600
- ISBN13
- 9783030003104
- Category
- Computers, IT, Programming
- Description
- Focusing on arbitrarily varying channels (AVC), this volume showcases Rudolf Ahlswede's expertise in Information Theory. It includes a survey on AVC and wiretap channels by Holger Boche and Ahmed Mansour. The book also covers continuous data compression and extensively discusses distributed information, highlighting key topics like "multiple descriptions" and "network coding," where Ahlswede made significant contributions. The final section addresses statistical inference under communication constraints, based on a highly acclaimed joint paper with Imre Csiszar.