Error Correction Coding: Mathematical Methods and Algorithms - Hardcover

Über die Autorin bzw. den Autor

TODD K. MOON is a Professor in the Electrical and Computer Engineering Department at Utah State University. His research interests include information systems (communications, signal processing, and controls) and the application of principles of mathematics to problems involving the transmission, extraction, modeling, compression, or analysis of signals. He is the author of numerous journal and conference articles and graduate level texts on signal processing and error correction coding.

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PROVIDING IN-DEPTH TREATMENT OF ERROR CORRECTION

Error Correction Coding: Mathematical Methods and Algorithms, 2nd Edition provides a comprehensive introduction to classical and modern methods of error correction. The presentation provides a clear, practical introduction to error correction techniques. The mathematics required to understand both block and convolutional codes are introduced on a "just-in-time" basis as the reader progresses through the book, providing motivation and examples to understand concepts of linear algebra, abstract algebra, information theory, and graph theory needed by modern coding theorists. This is supplemented by a lab-oriented approach, in which readers are provided tools to implement encoding and decoding algorithms with explicit algorithm statements. Block codes and convolutional codes are discussed.

The second edition increases the impact and reach of the book, updating it to discuss recent important technological advances. New material includes:

• Extensive coverage of LDPC codes, including a variety of decoding algorithms.
• A comprehensive introduction to polar codes, including systematic encoding/decoding and list decoding.
• An introduction to fountain codes.
• Modern applications to systems such as HDTV, DVBT2, and cell phones

Error Correction Coding includes extensive program files (for example, C++ code for all LDPC decoders and polar code decoders), laboratory materials for students to implement algorithms, and an updated solutions manual, all of which are perfect to help the reader understand and retain the content.

The book covers classical BCH, Reed Solomon, Golay, Reed Muller, Hamming, and convolutional codes which are still component codes in virtually every modern communication system. There are also fulsome discussions of recently developed polar codes and fountain codes that serve to educate the reader on the newest developments in error correction.