When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Kraft–McMillan inequality - Wikipedia

    en.wikipedia.org/wiki/KraftMcMillan_inequality

    Kraft's inequality limits the lengths of codewords in a prefix code: if one takes an exponential of the length of each valid codeword, the resulting set of values must look like a probability mass function, that is, it must have total measure less than or equal to one. Kraft's inequality can be thought of in terms of a constrained budget to be ...

  3. Brockway McMillan - Wikipedia

    en.wikipedia.org/wiki/Brockway_McMillan

    He joined Bell Telephone Laboratories 1946 as a research mathematician and published the article "The Basic Theorems of Information Theory" [5] and proved parts of Kraft's inequality, sometimes called the Kraft-McMillan theorem (Kraft proved that if the inequality is satisfied, then a prefix code exists with the given lengths.

  4. Cross-entropy - Wikipedia

    en.wikipedia.org/wiki/Cross-entropy

    In information theory, the KraftMcMillan theorem establishes that any directly decodable coding scheme for coding a message to identify one value out of a set of possibilities {, …,} can be seen as representing an implicit probability distribution () = over {, …,}, where is the length of the code for in bits.

  5. Asymptotic equipartition property - Wikipedia

    en.wikipedia.org/wiki/Asymptotic_equipartition...

    The Shannon–McMillan–Breiman theorem, due to Claude Shannon, Brockway McMillan, and Leo Breiman, states that we have convergence in the sense of L1. [2] Chung Kai-lai generalized this to the case where X {\displaystyle X} may take value in a set of countable infinity, provided that the entropy rate is still finite.

  6. Kullback–Leibler divergence - Wikipedia

    en.wikipedia.org/wiki/Kullback–Leibler_divergence

    In information theory, the KraftMcMillan theorem establishes that any directly decodable coding scheme for coding a message to identify one value out of a set of possibilities X can be seen as representing an implicit probability distribution () = over X, where is the length of the code for in bits.

  7. Talk:Kraft–McMillan inequality - Wikipedia

    en.wikipedia.org/wiki/Talk:KraftMcMillan...

    satisfying the Kraft's inequality, one can construct a prefix code with codeword lengths equal to by pruning subtrees from a full -ary tree of depth . First choose any node from the full tree at depth ℓ 1 {\displaystyle \ell _{1}} and remove all of its descendents.

  8. 'He fought to the very end': Steven Nelson executed in Texas ...

    www.aol.com/fought-very-end-steven-nelson...

    Texas executed Steven Nelson by lethal injection on Wednesday for the 2011 murder of a beloved young pastor.. Nelson, who was pronounced dead at 6:50 p.m. CT, was convicted of killing the Rev ...

  9. Estimation lemma - Wikipedia

    en.wikipedia.org/wiki/Estimation_lemma

    In mathematics the estimation lemma, also known as the ML inequality, gives an upper bound for a contour integral. If f is a complex -valued, continuous function on the contour Γ and if its absolute value | f ( z ) | is bounded by a constant M for all z on Γ , then