![]() Source coding ensures that information can be recovered with minimal to no loss of clarity. Source coding: Encoded binary data needs to be translated into other formats that receivers can understand. Arithmetic coding is used in data compression. If you are interested in studying coding theory, coursework can cover topics such as:Īrithmetic coding: Learners explore the algorithms used to detect and correct basic arithmetic operations (like addition and subtraction) that computers routinely complete. Footnote 3 There are also four types of coding in coding theory: cryptographic coding, error control (channel coding), data compression (source coding), and line coding. Footnote 2Īside from codes themselves, other basic yet important objects in coding theory include channels, encoders, and decoders. That’s because codes developed using coding theory are used by the streaming software to detect and correct these issues on the fly, making you more likely to get seamless viewing experiences with capable hardware and network capacities. Due to network latency and wireless interference, these sorts of issues are likely happening to you all the time, even if they’re not apparent. Footnote 1įor example, when you stream a movie or TV show, stutters can ruin your viewing experience. ![]() Codes are invaluable to today’s hardware and software, since electronically encoding and transmitting information is prone to errors due to interference in communications channels. ![]() Such applications include data compression, cryptography, and error detection. A mainstay of modern technology, coding theory is the study of algebraic and combinatorial codes used to encode information, as well as the applications of these codes.
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