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Introduction to the Theory of Error-Correcting Codes

Introduction to the Theory of Error-Correcting Codes is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Introduction to the Theory of Error-Correcting Codes rather than just read about it. In short: Introduction to the Theory of Error-Correcting Codes is a textbook on error-correcting codes, by Vera Pless. It was published in 1982 by John Wiley & Sons, with a second edition in 1989 and a third in 1998.

Introduction to the Theory of Error-Correcting Codes — main illustration
Introduction to the Theory of Error-Correcting Codes — illustration

Key takeaways

  • Introduction to the Theory of Error-Correcting Codes belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Introduction to the Theory of Error-Correcting Codes to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Introduction to the Theory of Error-Correcting Codes from memory before moving on to harder problems.

Reference excerpt

Introduction to the Theory of Error-Correcting Codes is a textbook on error-correcting codes, by Vera Pless. It was published in 1982 by John Wiley & Sons, with a second edition in 1989 and a third in 1998. The Basic Library List Committee of the Mathematical Association of America has rated the book as essential for inclusion in undergraduate mathematics libraries.

Topics This book is mainly centered around algebraic and combinatorial techniques for designing and using error-correcting linear block codes. It differs from previous works in this area in its reduction of each result to its mathematical foundations, and its clear exposition of the results follow from these foundations. The first two of its ten chapters present background and introductory material, including Hamming distance, decoding methods including maximum likelihood and syndromes, sphere packing and the Hamming bound, the Singleton bound, and the Gilbert–Varshamov bound, and the Hamming(7,4) code. They also include brief discussions of additional material not covered in more detail later, including information theory, convolutional codes, and burst error-correcting codes. Chapter 3 presents the BCH code over the field G F ( 2 4 ) {\displaystyle GF(2^{4})} , and Chapter 4 develops the theory of finite fields more generally. Chapter 5 studies cyclic codes and Chapter 6 studies a special case of cyclic codes, the quadratic residue codes. Chapter 7 returns to BCH codes. After these discussions of specific codes, the next chapter concerns enumerator polynomials, including the MacWilliams identities, Pless's own power moment identities, and the Gleason polynomials. The final two chapters connect this material to the theory of combinatorial designs and the design of experiments, and include material on the Assmus–Mattson theorem, the Witt design, the binary Golay codes, and the ternary Golay codes. The second edition adds material on BCH codes, Reed–Solomon error correction, Reed–Muller codes, decoding Golay codes, and "a new, simple combinatorial proof of the MacWilliams identities". As well as correcting some errors and adding more exercises, the third edition includes new material on connections between greedily constructed lexicographic codes and combinatorial game theory, the Griesmer bound, non-linear codes, and the Gray images of Z 4 {\displaystyle \mathbb {Z} ^{4}} codes.

Audience and reception This book is written as a textbook for advanced undergraduates; reviewer H. N. calls it "a leisurely introduction to the field which is at the same time mathematically rigorous". It includes over 250 problems, and can be read by mathematically-inclined students with only a background in linear algebra (provided in an appendix) and with no prior knowledge of coding theory. Reviewer Ian F. Blake complained that the first edition omitted some topics necessary for engineers, including algebraic decoding, Goppa codes, Reed–Solomon error correction, and performance analysis, making this more appropriate for mathematics courses, but he suggests that it could still be used as the basis of an engineering course by replacing the last two chapters with this material, and overall he calls the book "a delightful little monograph". Reviewer John Baylis adds that "for clearly exhibiting coding theory as a showpiece of applied modern algebra I haven't seen any to beat this one".

Related reading Other books in this area include The Theory of Error-Correcting Codes (1977) by Jessie MacWilliams and Neil Sloane, and A First Course in Coding Theory (1988) by Raymond Hill.

References

External links Introduction to the Theory of Error-Correcting Codes (2nd ed.) on the Internet Archive

Worked examples

Example 1 — a first encounter with Introduction to the Theory of Error-Correcting Codes

Start with the simplest possible case. Write down what Introduction to the Theory of Error-Correcting Codes claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Introduction to the Theory of Error-Correcting Codes before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Introduction to the Theory of Error-Correcting Codes ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Introduction to the Theory of Error-Correcting Codes

In research
Introduction to the Theory of Error-Correcting Codes appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Introduction to the Theory of Error-Correcting Codes in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Introduction to the Theory of Error-Correcting Codes is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1982 non-fiction books, 1989 non-fiction books, 1998 non-fiction books, so understanding it makes those chapters shorter.
In everyday life
Look for Introduction to the Theory of Error-Correcting Codes outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Introduction to the Theory of Error-Correcting Codes in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Introduction to the Theory of Error-Correcting Codes means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Introduction to the Theory of Error-Correcting Codes out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Introduction to the Theory of Error-Correcting Codes in simple terms?

Introduction to the Theory of Error-Correcting Codes is a textbook on error-correcting codes, by Vera Pless. It was published in 1982 by John Wiley & Sons, with a second edition in 1989 and a third in 1998.

Why does Introduction to the Theory of Error-Correcting Codes matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Introduction to the Theory of Error-Correcting Codes?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Introduction to the Theory of Error-Correcting Codes.

Tags

  • 1982 non-fiction books
  • 1989 non-fiction books
  • 1998 non-fiction books
  • Error detection and correction
  • Mathematics textbooks

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