Best Reference Books – Coding Theory

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We have compiled the list of Top 10 Best Reference Books on Coding Theory subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Coding Theory along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Coding Theory subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Coding Theory" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Information Theory and Coding” by Murlidhar Kulkarni and K S Shivaprakasha
2. “Information Theory, Coding and Cryptography” by Ranjan Bose

“Information Theory, Coding and Cryptography” Book Review: This book discusses the theory of linear block codes (including cyclic codes, BCH codes, RS codes and LDPC codes), convolutional codes, Turbo codes, TCM and space time codes. It also includes the introduction to the basics of secure communications by focusing on cryptography and physical layer security. It has a basic exposure to linear algebra and probability theory as well as a course in digital communications. It also provides the real world scenarios for the application of theory. It is useful for both undergraduates and post graduates. This book includes introduction to information theory, variable length codes, optimum quantizer, systematic codes, hamming codes, introduction to RS codes etc.

3. “A Students Guide to Coding and Information Theory” by Chen

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“A Student’s Guide to Coding and Information Theory” Book Review: It is in the concise form of introduction to the engineering background of modern communication systems. It has many practical applications in coding including the repetition code, the Hamming code and the Huffman code. This book explains the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. There are many illustrations and worked out examples given in the book. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject.

4. “Information Theory and Coding: Basics and Practices” by Veluswamy S

“Information Theory and Coding: Basics and Practices” Book Review: It aims to give an intense theoretical and practical knowledge in the subject of Information Theory and Coding. The theory and concepts explained in this book are practically tried out in many industry projects and research works. It i s useful for the students practicing engineering, senior undergraduate students of electronics and communication engineering, telecommunication engineering branch of Indian universities and practicing engineers in the industry. The applications of this subject are brought out very clearly so that the students can understand the importance of this subject in the real world applications. It will be a good reference for the industry persons and teaching faculty in this subject. Industry persons can acquire mathematical analysis knowledge in this field, to design a viable and cost effective system for their project and research work.

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5. “Information Theory, Coding and Cryptography” by Arijit Saha

“Information Theory, Coding and Cryptography” Book Review: This book is a comprehensive text for the students of engineering discussing Source Encoding, Error Control Codes & Cryptography. It contains recent developments of coded modulation, trellises for codes, turbo coding for reliable data and interleaving. It contains many solved, unsolved questions along with a database of MCQ’s.

6. “Graph Theory with Applications to Engineering and Computer Science (Dover Books on Mathematics)” by Narsingh Deo

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“Graph Theory with Applications to Engineering and Computer Science (Dover Books on Mathematics)” Book Review: It includes treatment of graph theory and its applications. It is useful for undergraduates and postgraduate students, electrical engineering, computer science, operations research, and applied mathematics.. It includes an excellent overall introduction, requiring only some knowledge of set theory and matrix algebra, paths and circuits, trees and fundamental circuits, planar and dual graphs, vector and matrix representation of graphs, and related subjects.It also covers graph theory algorithms and computer programs, graphs in switching and coding theory, electrical network analysis by graph theory, graph theory in operations research, and more.

7. “Applied Coding And Information Theory For Engineers” by Richard B Wells

“Applied Coding And Information Theory For Engineers” Book Review: This book provides a practical introduction to the theory and practice of coding and information theory for applications in the field of electronic communications. It contains from the background of coding or information theory. While the mathematical level is detailed, it is kept at an introductory level. It is useful for For Junior or Senior Level introductory courses in Applied Coding and Information Theory.

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8. “Coding Theory: Algorithms, Architectures and Applications” by Jurgen Freudenberger and Volker Kuhn

“Coding Theory: Algorithms, Architectures and Applications” Book Review: This book includes algorithms, architectures, and applications of coding theory in a unified framework. It also covers the basics of coding theory before moving on to discuss algebraic linear block and cyclic codes, turbo codes and low density parity check codes and space-time codes. Coding Theory provides algorithms and architectures used for implementing coding and decoding strategies as well as coding schemes used in practice especially in communication systems. Its contents includes Introduction, Communication Systems, Information Theory, Entropy, Channel Capacity, Binary Symmetric Channel, AWGN Channel, A Simple Channel Code, Algebraic Coding Theory, Fundamentals of Block Codes, Linear Block Codes, Cyclic Codes, Summary, Convolutional Codes, Encoding of Convolutional Codes, Trellis Diagram and Viterbi’s Algorithm, Distance Properties and Error Bounds, Soft Input Decoding, Soft Output Decoding, Convolutional Coding in Mobile Communications, Summary, Turbo Codes etc.

9. “Introduction to Cryptography With Coding Theory” by TRAPPE
10. “Introduction to Coding Theory” by Ron Roth

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“Introduction to Coding Theory” Book Review : This book shows the theoretical foundations of error-correcting codes, and also includes Reed-Solomon codes and their derivative codes. It also describes Reed-Solomon codes and various decoding algorithms. Cyclic codes are presented, as are MDS codes, graph codes, and codes in the Lee metric. Concatenated, trellis, and convolutional codes are also discussed in detail. Homework exercises introduce additional concepts such as Reed-Muller codes, and burst error correction are also given. It is useful for students of computer science, electrical engineering, and mathematics, from senior-undergraduate to graduate level.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Coding Theory – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Coding Theory" so that one can readily see the list of top books on "Coding Theory" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Coding Theory subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter