| 书目名称 | Information Theory for Electrical Engineers |
| 编辑 | Orhan Gazi |
| 视频video | |
| 概述 | Explains the fundamental concepts of information theory.Helps students understand modern communication technologies.Especially focuses on understandability, using simple and detailed mathematics.Inclu |
| 丛书名称 | Signals and Communication Technology |
| 图书封面 |  |
| 描述 | .This book explains the fundamental concepts of information theory, so as to help students better understand modern communication technologies. It was especially written for electrical and communication engineers working on communication subjects. The book especially focuses on the understandability of the topics, and accordingly uses simple and detailed mathematics, together with a wealth of solved examples..The book consists of four chapters, the first of which explains the entropy and mutual information concept for discrete random variables. Chapter 2 introduces the concepts of entropy and mutual information for continuous random variables, along with the channel capacity. In turn, Chapter 3 is devoted to the typical sequences and data compression. One of Shannon’s most important discoveries is the channel coding theorem, and it is critical for electrical and communication engineers to fully comprehend the theorem. As such, Chapter 4 solely focuses on it..To gain the most from the book, readers should have a fundamental grasp of probability and random variables; otherwise, they will find it nearly impossible to understand the topics discussed.. |
| 出版日期 | Textbook 2018 |
| 关键词 | Shannon theorem; Textbook Information Theory; channel coding theorem; Discrete entropy; Mutual informati |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-8432-4 |
| isbn_softcover | 978-981-13-4149-6 |
| isbn_ebook | 978-981-10-8432-4Series ISSN 1860-4862 Series E-ISSN 1860-4870 |
| issn_series | 1860-4862 |
| copyright | Springer Nature Singapore Pte Ltd. 2018 |
发表于 2025-3-21 19:35:39
