telecommunication, information theory, and coding theory, forward error correction (FEC) or channel coding is a technique used for controlling errors
There are four types of coding: Data compression (or source coding) Error control (or channel coding) Cryptographic coding Line coding Data compression attempts
In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise
over a communications channel of a specified bandwidth in the presence of noise. It is an application of the noisy-channel coding theorem to the archetypal
problems in information theory. These are separated into source coding and channel coding. There are also related unsolved problems in philosophy. Capacity
over a communication channel. Following the terms of the noisy-channel coding theorem, the channel capacity of a given channel is the highest information
and 5G New Radio (NR) Polar Coding with MATLAB®) and three appendices (Conceptual Channels in 5G New Radio, Channel Coding from 2G to 5G and Scripts),
Speech coding is an application of data compression to digital audio signals containing speech. Speech coding uses speech-specific parameter estimation
these steps together. For example, a Morse code transmitter combines source coding, channel coding, and line coding into one step, typically followed by an
using a single code instead of the more conventional steps of source coding followed by channel coding. Joint source–channel coding has been proposed