Code Design for Dependable Systems: Theory and Practical Applications - PDF Free Download
Arshad, Amiya K. Maji, Sidharth Mudgal, and Saurabh Bagchi.
Arshad, Rebecca J. Elsevier Ad Hoc Networks, pp. IEEE Network magazine, vol. Alim Al Islam, S. Ahn, Bronis R. Maji, Fahad A.
Buy Code Design For Dependable Systems: Theory And Practical Applications 2006
Arshad, Saurabh Bagchi and Jan S. Acceptance rate not available [ Abstract ]. Arshad, David M. Grothe, and Saurabh Bagchi.
Arshad, and Saurabh Bagchi. Krasniewski, Rajesh K. Publication date: Fall Correia, and Paulo J.
Defended: December 14, Masters Thesis, major professor: Saurabh Bagchi. Submitted: August Shroff, and Saurabh Bagchi.
Theoretical and practical tools to master matrix code design strategy and technique Error correcting and detecting codes are essential to improving system reliability and have popularly been applied to computer systems and communication systems. Coding theory has been studied mainly using the code generator polynomials; hence, the codes are sometimes called polynomial codes. On the other hand, the codes designed by parity check matrices are referred to in this book as matrix codes.
This timely book focuses on the design theory for matrix codes and their practical applications for the improvement of system reliability. As the author effectively demonstrates, matrix codes are far more flexible than polynomial codes, as they are capable of expressing various types of code functions. In contrast to other coding theory publications, this one does not burden its readers with unnecessary polynomial algebra, but rather focuses on the essentials needed to understand and take full advantage of matrix code constructions and designs. Examples, figures, and exercises are fully provided in each chapter to illustrate concepts and engage the reader in designing actual code and solving real problems.
The matrix codes presented with practical parameter settings will be very useful for practicing engineers and researchers. References lead to additional material so readers can explore advanced topics in depth.
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Engineers, researchers, and designers involved in dependable system design and code design research will find the unique focus and perspective of this practical guide and reference helpful in finding solutions to many key industry problems. It also can serve as a coursebook for graduate and advanced undergraduate students. His research interests include design theory for error control codes, dependable systems, and error tolerant data compression. Table of contents Preface.