INFORMATION THEORY - PART I:AN INTRODUCTION TO THE FUNDAMENTAL CONCEPTS

应用数学

原   价:
1432.00
售   价:
1074.00
发货周期:预计3-5周发货
作      者
出  版 社
出版时间
2017年06月05日
装      帧
ISBN
9789813208827
复制
页      码
368
语      种
英文
综合评分
暂无评分
我 要 买
- +
库存 30 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
This book is about the definition of the Shannon measure of Information, and some derived quantities such as conditional information and mutual information. Unlike many books, which refer to the Shannon?s Measure of information (SMI) as "Entropy," this book makes a clear distinction between the SMI and Entropy. In the last chapter, Entropy is derived as a special case of SMI. Ample examples are provided which help the reader in understanding the different concepts discussed in this book. As with previous books by the author, this book aims at a clear and mystery-free presentation of the central concept in Information theory ? the Shannon?s Measure of Information. This book presents the fundamental concepts of Information theory in a friendly-simple language and is devoid of all kinds of fancy and pompous statements made by authors of popular science books who write on this subject. It is unique in its presentation of Shannon?s measure of information, and the clear distinction between this concept and the thermodynamic entropy. Although some mathematical knowledge is required by the reader, the emphasis is on the concepts and their meaning rather on the mathematical details of the theory.
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个