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  2. Shannon coding - Wikipedia

    en.wikipedia.org/wiki/Shannon_coding

    In the field of data compression, Shannon coding, named after its creator, Claude Shannon, is a lossless data compression technique for constructing a prefix code based on a set of symbols and their probabilities (estimated or measured).

  3. Shannon–Fano coding - Wikipedia

    en.wikipedia.org/wiki/Shannon–Fano_coding

    Unfortunately, Shannon–Fano coding does not always produce optimal prefix codes; the set of probabilities {0.35, 0.17, 0.17, 0.16, 0.15} is an example of one that will be assigned non-optimal codes by Shannon–Fano coding. Fano's version of Shannon–Fano coding is used in the IMPLODE compression method, which is part of the ZIP file format ...

  4. Talk:Shannon–Fano coding - Wikipedia

    en.wikipedia.org/wiki/Talk:Shannon–Fano_coding

    3 comments Toggle Huffman algorithm subsection. 5.1 IP 195.47 ... 2 comments. Toggle the table of contents. Talk: Shannon–Fano coding. Add languages. Page contents ...

  5. Here's How Much Every State Will Spend Per Child This Christmas

    www.aol.com/heres-much-every-state-spend...

    Take a look at every state ranked by how much each parent is going to spend on each kid this holiday season.

  6. The Most Popular Christmas Cocktail in Every State — And How ...

    www.aol.com/most-popular-christmas-cocktail...

    Cranberry Mimosa. Iowa, Kentucky, North Carolina, South Carolina, Virginia, Louisiana, Hawaii . Seven states seem to prefer a Christmas brunch drink for the holidays.

  7. 5 ways to build equity in your home more quickly (and why it ...

    www.aol.com/finance/how-to-build-home-equity...

    2. Put extra money toward your mortgage payments. Paying $50 to $100 more per month can make a real difference in building your equity and reducing the interest you pay over the life of your loan.

  8. Entropy coding - Wikipedia

    en.wikipedia.org/wiki/Entropy_coding

    In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared by Shannon's source coding theorem, which states that any lossless data compression method must have an expected code length greater than or equal to the entropy of the source.

  9. High-end wedding photographer and family shocked as they’re ...

    www.aol.com/news/wedding-photographer-family...

    A high-end wedding photographer and his Indian American family were subjected to the wrath of a fellow traveler who hurled sickening insults at them after their United Airlines flight.