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An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)
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An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)
Uncommonly good...the most satisfying discussion to be found. — Scientific American.
An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)
Item #: 3944130

An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)

Item #: 3944130

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What Stands Out

Comprehensive Coverage
This book offers an in-depth exploration of information theory, covering essential concepts like symbols, signals, and noise, making it suitable for both beginners and advanced learners.
Accessible Format
Published by Dover, this edition presents complex ideas in an engaging manner, ensuring clarity and ease of understanding for students and professionals alike.
Rich Learning Resource
Includes practical examples and exercises that reinforce learning, making it an invaluable resource for those studying mathematics or telecommunications.

Product Details

Discover the fascinating world of information theory with 'An Introduction to Information Theory: Symbols, Signals and Noise'. Explore symbols, signals, and noise in this Dover Books on Mathematics paperback. Buy now on Ubuy Isle of Man.
Package Weight1 Pound

Who Should Buy?

Suitable For
  • Students of Mathematics

    Ideal for undergraduate and graduate students seeking foundational knowledge in information theory concepts and applications.

  • Engineering Professionals

    Useful for engineers working in telecommunications, computer science, and related fields requiring deep understanding of signal processing.

  • Research Interested Individuals

    Beneficial for researchers looking to explore advanced topics in information theory and its implications in modern technology.

Not Suitable For
  • Casual Readers

    Not suitable for those seeking light reading; the content requires focus and understanding of complex mathematical concepts.

Product Description

An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)

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Customer Questions & Answers

  • Question: What is the main focus of 'An Introduction to Information Theory'?

    Answer: The book primarily focuses on the fundamental concepts of information theory, detailing how information is quantified, transmitted, and stored. It covers essential topics such as entropy, data compression, and error correction, which are vital for understanding how data is communicated. Readers who are interested in telecommunications, computer science, or statistics will benefit significantly from this comprehensive introduction as it lays the groundwork for advanced studies in these fields.
  • Question: Who is the author of this book and what is his background?

    Answer: 'An Introduction to Information Theory' is authored by David A. Huffman, a prominent figure in the field of computer science and information theory. Huffman is well-known for his development of the Huffman coding algorithm, which is crucial for lossless data compression. His expertise and experience in both educational and practical applications of information theory make this book a reliable resource for students and professionals alike, providing insights drawn from a deep understanding of the subject.
  • Question: Is this book suitable for beginners in information theory?

    Answer: Yes, the book is designed to be accessible for beginners while still providing in-depth coverage of important concepts. It starts with basic principles and gradually introduces more complex topics, making it an excellent resource for anyone new to the field. Those studying computer science or communications will find it particularly useful as it lays a foundational understanding before diving into more challenging material.
  • Question: What unique features does this edition offer?

    Answer: The subsequent edition of 'An Introduction to Information Theory' includes updates and additional examples that reflect recent advances in the field. New sections explore modern applications of information theory in areas such as data science and machine learning, enhancing the reader's understanding of its practical relevance today. This makes the book not just a historical account, but a contemporary resource that connects theory to real-world applications.
  • Question: How does this book address practical applications of information theory?

    Answer: The book provides various real-life scenarios and case studies that illustrate the application of information theory concepts. For instance, it explains how data compression techniques are critical for efficient storage and transmission of digital information. This practical approach allows readers to see how theoretical knowledge translates into technological solutions in sectors like telecommunications, computing, and information technology.
  • Question: Does the book include exercises or problems for practice?

    Answer: Yes, the book features exercises and problems at the end of each chapter, designed to reinforce the concepts discussed. These exercises range from basic to advanced levels, making them suitable for various learning paces. They encourage readers to apply what they've learned, ensuring a solid grasp of key ideas that can be utilized in academic or professional contexts.
  • Question: Can this book be used as a textbook for a course?

    Answer: Absolutely, 'An Introduction to Information Theory' is suitable as a textbook for college-level courses in information theory, telecommunications, and engineering. Its structured approach and comprehensive coverage make it ideal for both instructors and students. Educators often select it for its clarity and ability to engage students in the fundamental principles of the field.
  • Question: How is the writing style of the book?

    Answer: The writing style of the book is clear, concise, and engaging. The author uses straightforward language to explain complex concepts, making them easier to understand for readers with varying levels of expertise. This thoughtful approach helps maintain interest and facilitates learning, which is particularly beneficial for students or self-learners navigating challenging material.
  • Question: What topics in mathematics are covered in this book?

    Answer: The book delves into mathematical foundations essential to information theory, including probability, statistics, and combinatorics. These topics are crucial for understanding concepts such as entropy and mutual information. By bridging mathematics with information theory, the book equips readers with the analytical tools needed for advanced studies or professional work in related fields.
  • Question: Where can I buy 'An Introduction to Information Theory' in Isle of Man?

    Answer: You can purchase 'An Introduction to Information Theory: Symbols, Signals and Noise Dover Books on Mathematics Subsequent Edition' from Ubuy. Ubuy offers a wide selection of books and provides a convenient platform for easy access to your reading material, making it a reliable choice for acquiring this important text in information theory.

Probability & Statistics Editorial Review

**** "An Introduction to Information Theory: Symbols, Signals and Noise" is a highly regarded book that offers a compelling introduction to the complex field of information theory. The author’s engaging writing style, often marked by self-deprecation and humor, makes challenging concepts more accessible and enjoyable for readers. Many reviewers appreciate the wide-ranging examples drawn from various disciplines, making the material applicable not only to specialists in IT and telecommunication fields but also to laypeople interested in the mathematical foundations of communication. Readers laud the book’s clarity, particularly in its treatment of foundational concepts such as entropy, information sources, and error correction techniques. The practical insights gained from the discussions—such as language patterns, the relationship between information theory and thermodynamics, and even the intersection with art—have proven rewarding for those seeking a deeper understanding of the subject. Despite some critiques regarding typographical errors, particularly in mathematical expressions, many find that the book remains a valuable resource for learning. The blend of philosophical background, historical context, and practical application provides a balanced and enriching experience. Priced affordably, this book stands out as an excellent entry point for anyone wishing to explore the fascinating realm of information theory. **

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Pros

  • Engaging and humorous writing style.
  • Broad range of interdisciplinary examples that enhance understanding.
  • Clear explanations of foundational concepts in information theory.
  • Suitable for both specialists and general readers.
  • Affordable price point.

Cons

  • Contains a number of typographical errors, including in formulas.

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Features & Benefits

  • Introduction to information theory for a second edition.
  • Explains origins of the field and brilliant formulations of Claude Shannon.
  • Description of encoding and binary digits, entropy, language and meaning, efficient encoding, and the noisy channel.
  • Relates information theory to physics, cybernetics, psychology, and art.
  • Glossary of terms and an appendix on mathematical notation are provided.
  • The most impressive nontechnical account available and a fascinating introduction to the subject for lay readers.

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