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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 th
ese 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 book is open access under a CC BY 4.0 license.
Produkteigenschaften
- Artikelnummer: 9783319511023
- Medium: Buch
- ISBN: 978-3-319-51102-3
- Verlag: Springer
- Erscheinungstermin: 02.03.2017
- Sprache(n): Englisch
- Auflage: 1. Auflage 2017
- Serie: Signals and Communication Technology
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 10325 g
- Seiten: 522
- Format (B x H x T): 160 x 241 x 33 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Forschung und Information
- Informationstheorie, Kodierungstheorie
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Forschung und Information
- Informationstheorie, Kodierungstheorie