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  2. exFAT - Wikipedia

    en.wikipedia.org/wiki/ExFAT

    Because file size references are stored in eight instead of four bytes, the file size limit has increased to 16 exabytes (EB) (2 64 − 1 bytes, or about 10 19 bytes, which is otherwise limited by a maximum volume size of 128 PB, [nb 2] or 2 57 − 1 bytes), raised from 4 GB (2 32 − 1 bytes) in a standard FAT32 file system. [1]

  3. File size - Wikipedia

    en.wikipedia.org/wiki/File_size

    File size. File size is a measure of how much data a computer file contains or, alternately, how much storage it consumes. Typically, file size is expressed in units of measurement based on the byte. By convention, file size units use either a metric prefix (as in megabyte and gigabyte) or a binary prefix (as in mebibyte and gibibyte).

  4. File Allocation Table - Wikipedia

    en.wikipedia.org/wiki/File_Allocation_Table

    With the standard hard disk sector size of 512 bytes, this gives a maximum of 32 KB cluster size, thereby fixing the "definitive" limit for the FAT16 partition size at 2 GB for sector size 512. On magneto-optical media, which can have 1 or 2 KB sectors instead of 0.5 KB, this size limit is proportionally larger.

  5. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Definition. Data compression ratio is defined as the ratio between the uncompressed size and compressed size: [1][2][3][4][5] Thus, a representation that compresses a file's storage size from 10 MB to 2 MB has a compression ratio of 10/2 = 5, often notated as an explicit ratio, 5:1 (read "five" to "one"), or as an implicit ratio, 5/1.

  6. rzip - Wikipedia

    en.wikipedia.org/wiki/Rzip

    Size. 46K (source code tarball, gzipped) Website. rzip.samba.org. rzip is a huge-scale data compression computer program designed around initial LZ77 -style string matching on a 900 MB dictionary window, followed by bzip2 -based Burrows–Wheeler transform and entropy coding (Huffman) on 900 kB output chunks.

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Lossy compression typically achieves far greater compression than lossless compression, by discarding less-critical data based on psychoacoustic optimizations. [49] Psychoacoustics recognizes that not all data in an audio stream can be perceived by the human auditory system. Most lossy compression reduces redundancy by first identifying ...

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