Binary entropy function and Z-channel (information theory)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Binary entropy function and Z-channel (information theory)

Binary entropy function vs. Z-channel (information theory)

In information theory, the binary entropy function, denoted \operatorname H(p) or \operatorname H_\text(p), is defined as the entropy of a Bernoulli process (i.i.d. binary variable) with probability p of one of two values, and is given by the formula: The base of the logarithm corresponds to the choice of units of information; base corresponds to nats and is mathematically convenient, while base 2 (binary logarithm) corresponds to shannons and is conventional (as shown in the graph); explicitly: Note that the values at 0 and 1 are given by the limit \textstyle 0 \log 0. In coding theory and information theory, a Z-channel or binary asymmetric channel is a communications channel used to model the behaviour of some data storage systems.

Similarities between Binary entropy function and Z-channel (information theory)

Binary entropy function and Z-channel (information theory) have 1 thing in common (in Unionpedia): Information theory.

Information theory

Information theory is the mathematical study of the quantification, storage, and communication of information.

Binary entropy function and Information theory · Information theory and Z-channel (information theory) · See more »

The list above answers the following questions

What Binary entropy function and Z-channel (information theory) have in common
What are the similarities between Binary entropy function and Z-channel (information theory)

Binary entropy function and Z-channel (information theory) Comparison

Binary entropy function has 27 relations, while Z-channel (information theory) has 10. As they have in common 1, the Jaccard index is 2.70% = 1 / (27 + 10).

References

This article shows the relationship between Binary entropy function and Z-channel (information theory). To access each article from which the information was extracted, please visit:

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