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  2. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    Huffman tree generated from the exact frequencies of the text "this is an example of a huffman tree". Encoding the sentence with this code requires 135 (or 147) bits, as opposed to 288 (or 180) bits if 36 characters of 8 (or 5) bits were used (This assumes that the code tree structure is known to the decoder and thus does not need to be counted as part of the transmitted information).

  3. File:Huffman coding visualisation.svg - Wikipedia

    en.wikipedia.org/wiki/File:Huffman_coding...

    In steps 2 to 6, the letters are sorted by increasing frequency, and the least frequent two at each step are combined and reinserted into the list, and a partial tree is constructed. The final tree in step 6 is traversed to generate the dictionary in step 7. Step 8 uses it to encode the message. Width: 100%: Height: 100%

  4. File:Huffman coding example.svg - Wikipedia

    en.wikipedia.org/wiki/File:Huffman_coding...

    The standard way to represent a signal made of 4 symbols is by using 2 bits/symbol, but the entropy of the source is 1.73 bits/symbol. If this Huffman code is used to represent the signal, then the entropy is lowered to 1.83 bits/symbol; it is still far from the theoretical limit because the probabilities of the symbols are different from negative powers of two.

  5. Canonical Huffman code - Wikipedia

    en.wikipedia.org/wiki/Canonical_Huffman_code

    In computer science and information theory, a canonical Huffman code is a particular type of Huffman code with unique properties which allow it to be described in a very compact manner. Rather than storing the structure of the code tree explicitly, canonical Huffman codes are ordered in such a way that it suffices to only store the lengths of ...

  6. Adaptive Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Adaptive_Huffman_coding

    Adaptive Huffman coding (also called Dynamic Huffman coding) is an adaptive coding technique based on Huffman coding. It permits building the code as the symbols are being transmitted, having no initial knowledge of source distribution, that allows one-pass encoding and adaptation to changing conditions in data.

  7. CHART #1: SIDE-BY-SIDE COMPARISON OF LEADING DEMOCRATIC ...

    images.huffingtonpost.com/bluchart1.pdf

    CHART #1: SIDE-BY-SIDE COMPARISONS OF LEADING DEMOCRATIC CANDIDATESÕ HEALTH PLANS 2 $250,000 to expire in 20105! May increase estate taxes on inheritances valued at more than $7 million5! Partnerships among Federal and state governments, employers, providers, and individuals7! Provide subsidies for families that donÕt qualify for Med icaid or

  8. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    A greedy algorithm is used to construct a Huffman tree during Huffman coding where it finds an optimal solution. In decision tree learning, greedy algorithms are commonly used, however they are not guaranteed to find the optimal solution. One popular such algorithm is the ID3 algorithm for decision tree construction.

  9. File:Huffman tree 2.svg - Wikipedia

    en.wikipedia.org/wiki/File:Huffman_tree_2.svg

    Huffman tree generated from the exact frequencies in the sentence "this is an example of a huffman tree". ... Add a one-line explanation of what this file represents