Digital communication

Digital communication transmits information as discrete symbols encoded in digital signals. It enables information to be represented, processed, and reproduced using distinct symbol values, commonly binary digits.

Source coding: Source coding represents information efficiently as a sequence of symbols, often by removing redundancy. It converts messages into symbol sequences before transmission.
Digital signal: A digital signal represents information using a finite set of distinct values. Digital communication carries information in signals with discrete symbol values.
Computer network: A computer network connects devices so they can exchange data and share resources. Networks use digital communication to move data among connected devices.
Analog communication: Analog communication transmits information through signals that vary continuously with the message. It represents information continuously rather than as discrete symbols.
Claude Shannon: Claude Shannon was an American mathematician and electrical engineer who founded modern information theory. His work formalized the limits and possibilities of reliable digital communication.
Channel coding: Channel coding adds structured redundancy to data so errors can be detected or corrected. Its added redundancy helps recover symbols corrupted in transit.
Bit: A bit is a unit of information that takes one of two values, commonly written as 0 or 1. Binary bits are the basic symbols used by many digital communication systems.
Internet protocol suite: The Internet protocol suite is a layered set of protocols that enables communication across interconnected networks. Its protocols organize digital data for delivery across the Internet.
Analog signal: An analog signal varies continuously over time and can take a continuum of values. Its continuous values differ from the discrete symbols used in digital links.
A Mathematical Theory of Communication: A Mathematical Theory of Communication is Claude Shannon's 1948 paper establishing the mathematical foundations of information theory. It set out a general framework for encoding information and sending it through noisy channels.

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