Coding theory | Wikipedia audio article
Channel: wikipedia tts
Date: 25/12/2018

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Coding_theory


00:01:44 1 History of coding theory
00:02:58 2 Source coding
00:03:12 2.1 Definition
00:06:02 2.2 Properties
00:07:07 2.3 Principle
00:07:55 2.4 Example
00:08:17 3 Channel coding
00:10:21 3.1 Linear codes
00:11:05 3.1.1 Linear block codes
00:14:31 3.1.2 Convolutional codes
00:15:59 4 Cryptographical coding
00:18:06 5 Line coding
00:18:58 6 Other applications of coding theory
00:20:52 6.1 Group testing
00:21:32 6.2 Analog coding
00:21:57 7 Neural coding
00:22:42 8 See also



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SUMMARY
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Coding theory is the study of the properties of codes and their respective fitness for specific applications. Codes are used for data compression, cryptography, error detection and correction, data transmission and data storage. 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 control (or channel coding)
Cryptographic coding
Line codingData compression attempts to remove redundancy from the data from a source in order to transmit it more efficiently. For example, Zip data compression makes data files smaller, for purposes such as to reduce Internet traffic. Data compression and error correction may be studied in combination.
Error correction adds extra data bits to make the transmission of data more robust to disturbances present on the transmission channel. The ordinary user may not be aware of many applications using error correction. A typical music CD uses the Reed-Solomon code to correct for scratches and dust. In this application the transmission channel is the CD itself. Cell phones also use coding techniques to correct for the fading and noise of high frequency radio transmission. Data modems, telephone transmissions, and the NASA Deep Space Network all employ channel coding techniques to get the bits through, for example the turbo code and LDPC codes.