Coding and Information Theory
E488677
"Coding and Information Theory" is a foundational textbook by Richard W. Hamming that introduces the mathematical principles underlying error-correcting codes and the transmission of information.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Coding and Information Theory canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5036924 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coding and Information Theory Context triple: [Richard W. Hamming, notableWork, Coding and Information Theory]
-
A.
Mathematical Foundations of Information Theory
Mathematical Foundations of Information Theory is a seminal monograph by Aleksandr Khinchin that rigorously develops the probabilistic and mathematical basis of Shannon’s information theory.
-
B.
information theory
Information theory is a mathematical framework for quantifying information, communication, and data compression, foundational to modern digital communication and signal processing.
-
C.
Algebraic Coding Theory
Algebraic Coding Theory is a foundational mathematical text that systematically develops the theory and applications of error-correcting codes using algebraic methods.
-
D.
An Introduction to Information Theory: Symbols, Signals and Noise
An Introduction to Information Theory: Symbols, Signals and Noise is a classic, accessible textbook that explains the fundamental concepts of information theory, communication, and coding for a broad scientific and engineering audience.
-
E.
Kolmogorov complexity
Kolmogorov complexity is a measure of the amount of information in an object, defined as the length of the shortest computer program that can produce it.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coding and Information Theory Target entity description: "Coding and Information Theory" is a foundational textbook by Richard W. Hamming that introduces the mathematical principles underlying error-correcting codes and the transmission of information.
-
A.
Mathematical Foundations of Information Theory
Mathematical Foundations of Information Theory is a seminal monograph by Aleksandr Khinchin that rigorously develops the probabilistic and mathematical basis of Shannon’s information theory.
-
B.
information theory
Information theory is a mathematical framework for quantifying information, communication, and data compression, foundational to modern digital communication and signal processing.
-
C.
Algebraic Coding Theory
Algebraic Coding Theory is a foundational mathematical text that systematically develops the theory and applications of error-correcting codes using algebraic methods.
-
D.
An Introduction to Information Theory: Symbols, Signals and Noise
An Introduction to Information Theory: Symbols, Signals and Noise is a classic, accessible textbook that explains the fundamental concepts of information theory, communication, and coding for a broad scientific and engineering audience.
-
E.
Kolmogorov complexity
Kolmogorov complexity is a measure of the amount of information in an object, defined as the length of the shortest computer program that can produce it.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
information theory book
ⓘ
mathematics book ⓘ nonfiction book ⓘ textbook ⓘ |
| author |
Richard W. Hamming
NERFINISHED
ⓘ
Richard Wesley Hamming NERFINISHED ⓘ |
| contributor | Richard W. Hamming NERFINISHED ⓘ |
| educationalLevel |
advanced undergraduate
ⓘ
graduate ⓘ |
| fieldOfStudy |
applied mathematics
ⓘ
computer science ⓘ electrical engineering ⓘ |
| genre |
scientific literature
ⓘ
technical textbook ⓘ |
| hasPart |
chapters on coding theorems
ⓘ
chapters on entropy and information ⓘ chapters on error-detecting and error-correcting codes ⓘ exercises for students ⓘ |
| influencedBy | Claude E. Shannon's information theory NERFINISHED ⓘ |
| intendedAudience |
mathematicians
ⓘ
students of computer science ⓘ students of electrical engineering ⓘ |
| language | English ⓘ |
| mainSubject |
channel capacity
ⓘ
coding theory ⓘ communication theory ⓘ data transmission ⓘ entropy ⓘ error-correcting codes ⓘ information theory ⓘ noisy communication channels ⓘ redundancy in coding ⓘ |
| notableFor |
clear exposition of coding theory fundamentals
ⓘ
integration of information theory with coding applications ⓘ |
| relatedWork |
Information Theory and Reliable Communication
NERFINISHED
ⓘ
The Art of Probability for Scientists and Engineers NERFINISHED ⓘ |
| teaches |
analysis of coding efficiency
ⓘ
design of error-correcting codes ⓘ mathematical principles of information transmission ⓘ probabilistic models of communication channels ⓘ |
| topic |
Hamming codes
NERFINISHED
ⓘ
binary symmetric channel ⓘ block codes ⓘ coding gain ⓘ error probability in communication systems ⓘ linear codes ⓘ |
| usedIn |
university courses on coding theory
ⓘ
university courses on information theory ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Coding and Information Theory Description of subject: "Coding and Information Theory" is a foundational textbook by Richard W. Hamming that introduces the mathematical principles underlying error-correcting codes and the transmission of information.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.