Construct · 1 fields · 1 citations

Price's theorem: a standalone construct

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Signal processing

a relation giving the derivative of the expected output of memoryless nonlinearities with jointly Gaussian inputs with respect to the input correlation.

In signal processing, Price's theorem refers to a relation giving the derivative of the expected output of memoryless nonlinearities with jointly Gaussian inputs with respect to the input correlation. This meaning comes from Price (1958) in IEEE Transactions on Information Theory.[1]

Unit
Recovery means
Measured by

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Nearby constructs

correlation4 fields · 4 citationsjingle · one word, four constructs derivative1 fields · 1 citationsanchor · a standalone construct information4 fields · 5 citationsjingle · one word, four constructs

References

Price, R. (1958). A useful theorem for nonlinear devices having Gaussian inputs. IEEE Transactions on Information Theory, 4(2), 69-72. https://doi.org/10.1109/tit.1958.1057444

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