Construct · 1 fields · 1 citations

entropy power inequality: a standalone construct

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Information theory

inequality stating that the entropy power of a sum of independent random vectors is at least the sum of their separate entropy powers.

In information theory, entropy power inequality refers to inequality stating that the entropy power of a sum of independent random vectors is at least the sum of their separate entropy powers. This meaning comes from Stam (1959) in Information and Control.[1]

Unit
Recovery means
Measured by

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Nearby constructs

control4 fields · 5 citationsjingle · one word, four constructs entropy6 fields · 12 citationsjingle · one name, six constructs information4 fields · 5 citationsjingle · one word, four constructs

References

Stam, A. J. (1959). Some inequalities satisfied by the quantities of information of Fisher and Shannon. Information and Control, 2(2), 101-112. https://doi.org/10.1016/s0019-9958(59)90348-1

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