May 29, 2012 · Here we decompose the entropy function into a polynomial approximation function and a remainder function. The approximation function is based on ...
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Abstract: An algorithm for estimating the entropy, which is based on the representation of the entropy function as the sum of two polynomial terms, ...
Abstract—An algorithm for estimating the entropy, which is based on the representation of the entropy function as the sum of two polynomial terms, ...
Estimating entropy from empirical samples of finite size is of central importance for information theory as well as the analysis of complex statistical systems.
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Abstract: An algorithm for estimating the entropy, which is based on the representation of the entropy function as the sum of two polynomial terms, ...
This work decomposes the entropy function into a polynomial approximation function and a remainder function and gives an unbiased, linear estimate of the ...
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An algorithm for estimating the entropy, which is based on the representation of the entropy function as the sum of two polynomial terms, called the ...
Estimation of the entropy based on its polynomial representation
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Here we decompose the entropy function into a polynomial approximation function and a remainder function. The approximation function is based on a Taylor ...
May 29, 2012 · Here we decompose the entropy function into a polynomial approximation function and a remainder function. The approximation function is based on ...
Missing: basis | Show results with:basis
People also ask
What is polynomial approximation of entropy?
How do you estimate differential entropy?
Polynomial Entropy Approximation. (PEA): Given a low-degree polynomial mapping p : Fn → Fm, where F is a fi- nite field, approximate the output entropy. H(p(Un)) ...