Error-Correction Coding and Decoding - Mohammed Ahmed - 書籍 - Saint Philip Street Press - 9781013268144 - 2020年10月8日
カバー画像とタイトルが一致しない場合、正しいのはタイトルです

Error-Correction Coding and Decoding

価格
¥ 9.798
税抜

遠隔倉庫からの取り寄せ

発送予定日 2026年1月2日 - 2026年1月14日
クリスマスプレゼントは1月31日まで返品可能です
iMusicのウィッシュリストに追加

This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the book presents the authors' twenty-five years of research organized into five parts: Part I is concerned with the theoretical performance attainable by using error correcting codes to achieve communications efficiency in digital communications systems. Part II explores the construction of error-correcting codes and explains the different families of codes and how they are designed. Techniques are described for producing the very best codes. Part III addresses the analysis of low-density parity-check (LDPC) codes, primarily to calculate their stopping sets and low-weight codeword spectrum which determines the performance of these codes. Part IV deals with decoders designed to realize optimum performance. Part V describes applications which include combined error correction and detection, public key cryptography using Goppa codes, correcting errors in passwords and watermarking. This book is a valuable resource for anyone interested in error-correcting codes and their applications, ranging from non-experts to professionals at the forefront of research in their field. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2020年10月8日
ISBN13 9781013268144
出版社 Saint Philip Street Press
ページ数 528
寸法 216 × 280 × 27 mm   ·   1,21 kg
言語 英語  

Mohammed Ahmedの他の作品を見る

すべて表示

このシリーズの他の商品