| 書目名稱 | Information Theory and Coding - Solved Problems |
| 編輯 | Predrag Ivani?,Du?an Draji? |
| 視頻video | http://file.papertrans.cn/466/465756/465756.mp4 |
| 概述 | Explains the basic principles of information theory and coding using complex numerical examples with detailed solutions.Can be treated as illustrated account of an information processing system, suita |
| 圖書封面 |  |
| 描述 | This book is offers a comprehensive overview of information theory and error control coding, using a different approach then in existed literature. The chapters are organized according to the Shannon system model, where one block affects the others. A relatively brief theoretical introduction is provided at the beginning of every chapter, including a few additional examples and explanations, but without any proofs. And a short overview of some aspects of abstract algebra is given at the end of the corresponding chapters. The characteristic complex examples with a lot of illustrations and tables are chosen to provide detailed insights into the nature of the problem. Some limiting cases are presented to illustrate the connections with the theoretical bounds. The numerical values are carefully selected to provide in-depth explanations of the described algorithms. Although the examples in the different chapters can be considered separately, they are mutually connected and the conclusions for one considered problem relate to the others in the book. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Error control coding; Data compression; Block and convolutional codes; Iterative decoding techniques; Co |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-49370-1 |
| isbn_softcover | 978-3-319-84147-2 |
| isbn_ebook | 978-3-319-49370-1 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
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