10 relations: Bernoulli distribution, Binary entropy function, Binary symmetric channel, Channel (communications), Channel capacity, Code, Coding theory, Conditional probability, Information theory, Random variable.

## Bernoulli distribution

In probability theory and statistics, the Bernoulli distribution, named after Swiss scientist Jacob Bernoulli, is the probability distribution of a random variable which takes the value 1 with success probability of p and the value 0 with failure probability of q.

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## Binary entropy function

In information theory, the binary entropy function, denoted H(p) \, or H_(p) \,, is defined as the entropy of a Bernoulli process with probability of success p. Mathematically, the Bernoulli trial is modelled as a random variable X that can take on only two values: 0 and 1.

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## Binary symmetric channel

A binary symmetric channel (or BSC) is a common communications channel model used in coding theory and information theory.

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## Channel (communications)

In telecommunications and computer networking, a communication channel or channel, refers either to a physical transmission medium such as a wire, or to a logical connection over a multiplexed medium such as a radio channel.

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## Channel capacity

In electrical engineering, computer science and information theory, channel capacity is the tight upper bound on the rate at which information can be reliably transmitted over a communications channel.

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## Code

In communications and information processing, code is a system of rules to convert information—such as a letter, word, sound, image, or gesture—into another form or representation, sometimes shortened or secret, for communication through a channel or storage in a medium.

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## Coding theory

Coding theory is the study of the properties of codes and their fitness for a specific application.

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## Conditional probability

In probability theory, a conditional probability measures the probability of an event given that (by assumption, presumption, assertion or evidence) another event has occurred.

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## Information theory

Information theory is a branch of applied mathematics, electrical engineering, and computer science involving the quantification of information.

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## Random variable

In probability and statistics, a random variable, aleatory variable or stochastic variable is a variable whose value is subject to variations due to chance (i.e. randomness, in a mathematical sense).

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## Redirects here:

Z Channel (information theory).

## References

[1] https://en.wikipedia.org/wiki/Z-channel_(information_theory)