
Algebraic Codes for Data Transmission by Richard E. Blahut – A Comprehensive Textbook on Error-Correcting Codes and Codi
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Product Description
Introduction
In the ever-evolving landscape of digital communication, the integrity of data during transmission is paramount. ALGEBRAIC CODES FOR DATA TRANSMISSION by Richard E. Blahut stands as a definitive reference for understanding the mathematical foundations that ensure reliable data transfer. Published by Cambridge University Press, this hardbound edition is an essential resource for Indian students, researchers, and professionals delving into coding theory and its practical applications.
Book Overview
This authoritative volume presents a comprehensive treatment of algebraic coding theory, bridging the gap between abstract algebra and real-world communication systems. Blahut masterfully explains how algebraic structures—such as finite fields, vector spaces, and polynomial rings—form the backbone of error-correcting codes. The book systematically covers both classical and modern coding techniques, making it suitable for advanced undergraduate and graduate courses in electrical engineering, computer science, and mathematics. With a focus on clarity and depth, it equips readers to design and analyze codes that safeguard data against noise and interference.
Key Highlights
- In-depth coverage of finite field theory and its role in code construction
- Detailed exposition of Reed–Solomon, BCH, and convolutional codes
- Rigorous mathematical proofs accompanied by practical examples
- Historical context and evolution of algebraic coding
- Exercises at the end of each chapter to reinforce learning
- Hardcover binding for durability and long-term reference
Inside the Book
The book is organized into well-structured chapters that gradually build complexity. Starting with the basics of algebra and error detection, it moves into cyclic codes, decoding algorithms, and the algebraic geometry of codes. Each concept is illustrated with worked-out problems, and the notation is kept consistent throughout. The final chapters delve into advanced topics like trellis codes and the interplay between coding and modulation, ensuring that readers gain a holistic understanding of the subject.
Key Topics
- Finite fields and their construction
- Linear block codes and syndrome decoding
- Cyclic codes and BCH codes
- Reed–Solomon codes for burst error correction
- Convolutional codes and Viterbi algorithm
- Algebraic decoding algorithms
- Code performance bounds and design trade-offs
Reader Benefits
By studying this book, readers gain the ability to implement error-correcting codes in real-world systems such as satellite communications, data storage, and digital broadcasting. The strong algebraic foundation also prepares students for advanced research in information theory and cryptography. Indian engineering students will find the rigorous yet accessible approach particularly helpful for competitive exams and academic projects.
Learning Outcomes
- Master the algebraic structures underlying modern error-correcting codes
- Analyze and compare different coding schemes based on performance metrics
- Design encoder and decoder architectures for block and convolutional codes
- Apply finite field arithmetic to solve practical communication problems
- Evaluate code efficiency and error-correction capabilities mathematically
Who Should Read
This book is ideal for postgraduate students in electrical engineering, computer science, or applied mathematics who are taking courses in coding theory. It also serves as a valuable reference for practicing engineers working in telecommunications, data storage, or embedded systems. Researchers seeking a deep algebraic perspective on error control will find this text indispensable.
About the Author
Richard E. Blahut is a distinguished professor and a leading authority in information theory and coding. He has made seminal contributions to the field, including the development of the Blahut–Arimoto algorithm. With decades of teaching and research experience, his works are celebrated for their mathematical rigor and practical insight.
About the Publisher
Cambridge University Press is a globally respected academic publisher known for producing high-quality textbooks and reference works. Their commitment to scholarly excellence ensures that every title, including this one, meets the highest standards of accuracy and clarity, making it a trusted source for learners and professionals worldwide.
Conclusion
ALGEBRAIC CODES FOR DATA TRANSMISSION is more than a textbook—it is a gateway to mastering the mathematical tools that protect our digital world. Whether you are a student embarking on a journey into coding theory or a professional seeking to deepen your expertise, this hardcover edition from Cambridge University Press is a worthy investment. Add it to your library today and unlock the power of algebraic codes.
Quick Summary
Algebraic Codes for Data Transmission by Richard E. Blahut is a cornerstone textbook in the field of coding theory, published by Cambridge University Press. This hardcover volume provides a rigorous, self-contained treatment of algebraic error-correcting codes, from linear block codes and cyclic codes to advanced topics like BCH, Reed-Solomon, and convolutional codes. The book delves deeply into the mathematics of finite fields, decoding algorithms such as the Berlekamp-Massey algorithm and Viterbi decoding, and performance bounds. It is written for graduate students, researchers, and practicing engineers who need a solid theoretical foundation for designing reliable digital communication systems. Readers will gain the ability to analyze and implement error-correcting codes for real-world applications in telecommunications, data storage, and satellite links. By purchasing from Bookshops.in, customers receive a genuine, brand-new hardcover edition with fast delivery across India, backed by trusted service.
Book Highlights
Book Specifications
| ISBN-13 | 9780521553742 |
| ISBN-10 | 0521553741 |
| Publisher | Cambridge University Press |
| Language | English |
| Dimensions | 18.42 x 2.54 x 25.4 cm |
| Weight | 1 kg 40 g |
| Country | India |
| Category | Mathematics › Algebra & Trigonometry |
| Genre | Non-fiction |
| Original Language | English |
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