The receiver in information theory is the receiving end of a communication channel (in particular the binary symmetric channel) in information theory. It receives decodedmessages/information from the sender, who first encoded them. Sometimes the receiver is modelled so as to include the decoder. Real-world receivers like radio receivers or telephones can be expected to receive as much information as predicted by the noisy channel coding theorem. Information theory is the mathematical theory of data communication and storage, generally considered to have been founded in 1948 by Claude E. Shannon. ... A Communications channel (or channel for short), models the medium through which information is transmitted from a sender (or transmitter) to a receiver. ... In coding theory, a binary symmetric channel (or BSC) is an idealized model of a communications channel that sends bits. ... Information theory is the mathematical theory of data communication and storage, generally considered to have been founded in 1948 by Claude E. Shannon. ... For other senses of the word code, see code (disambiguation). ... Message in its most general meaning is an object of communication. ... Info redirects here; for other uses, see . ... A source is one of the components of communication and information processing. ... For other senses of the word code, see code (disambiguation). ... The word receiver has a number of different meanings: In communications and information processing, a receiver is the recipient (observer) of a message (information), which is sent from a source (object). ... In radio terminology, a receiver is an electronic circuit that receives a radio signal from an antenna and decodes the signal for use as sound, pictures, navigational-position information, etc. ... The telephone or phone (Greek: tele = far away and phone = voice) is a telecommunications device which is used to transmit and receive sound (most commonly voice and speech) across distance. ... In information theory, the noisy-channel coding theorem establishes that however contaminated with noise interference a communication channel may be, it is possible to communicate digital data (information) error-free up to a given maximum rate through the channel. ...
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