Difference between revisions of "Coding theory"
From Wiki @ Karl Jones dot com
Karl Jones (Talk | contribs) (Created page with "'''Coding theory''' is the study of the properties of codes and their fitness for a specific application. == Description == Codes are used for data compression, cry...") |
Karl Jones (Talk | contribs) (→See also) |
||
| Line 18: | Line 18: | ||
* [[ABNNR and AEL codes]] | * [[ABNNR and AEL codes]] | ||
| + | * [[Bent function]] | ||
* [[Code]] | * [[Code]] | ||
* [[Coding gain]] | * [[Coding gain]] | ||
Latest revision as of 07:40, 11 November 2016
Coding theory is the study of the properties of codes and their fitness for a specific application.
Description
Codes are used for data compression, cryptography, error-correction, and more recently also for network coding.
Codes are studied by various scientific disciplines—such as information theory, electrical engineering, mathematics, linguistics, and computer science—for the purpose of designing efficient and reliable data transmission methods.
This typically involves the removal of redundancy and the correction (or detection) of errors in the transmitted data. There are four types of coding:
- Data compression (or, source coding)
- Error correction (or channel coding)
- Cryptographic coding
- Line coding
See also
- ABNNR and AEL codes
- Bent function
- Code
- Coding gain
- Covering code
- Error-correcting code
- Folded Reed–Solomon codes
- Group testing
- Hamming distance, Hamming weight
- Information theory
- Lee distance
- List of algebraic coding theory topics
- Spatial coding and MIMO in multiple antenna research
- Spatial diversity coding is spatial coding that transmits replicas of the information signal along different spatial paths, so as to increase the reliability of the data transmission.
- Spatial interference cancellation coding
- Spatial multiplex coding
- Timeline of information theory, data compression, and error correcting codes
External links
- Coding theory @ Wikipedia
