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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    ^ ASN.1 has X.681 (Information Object System), X.682 (Constraints), and X.683 (Parameterization) that allow for the precise specification of open types where the types of values can be identified by integers, by OIDs, etc. OIDs are a standard format for globally unique identifiers, as well as a standard notation ("absolute reference") for ...

  3. Orders of magnitude (data) - Wikipedia

    en.wikipedia.org/wiki/Orders_of_magnitude_(data)

    36 bits – size of word on Univac 1100-series computers and Digital Equipment Corporation's PDP-10 56 bits (7 bytes) – cipher strength of the DES encryption standard 2 6: 64 bits (8 bytes) – size of an integer capable of holding 18,446,744,073,709,551,616 different values – size of an IEEE 754 double-precision floating point number

  4. Consistent Overhead Byte Stuffing - Wikipedia

    en.wikipedia.org/wiki/Consistent_Overhead_Byte...

    In the examples, all bytes are expressed as hexadecimal values, and encoded data is shown with text formatting to illustrate various features: Bold indicates a data byte which has not been altered by encoding. All non-zero data bytes remain unaltered. Green indicates a zero data byte that was altered by encoding. All zero data bytes are ...

  5. Type–length–value - Wikipedia

    en.wikipedia.org/wiki/Type–length–value

    The type and length are fixed in size (typically 1–4 bytes), and the value field is of variable size. These fields are used as follows: Type A binary code, often simply alphanumeric, which indicates the kind of field that this part of the message represents; Length The size of the value field (typically in bytes); Value

  6. Extended precision - Wikipedia

    en.wikipedia.org/wiki/Extended_precision

    For purposes of this discussion M does not have 53 bits of precision because it is constrained to be greater than or equal to one i.e. the hidden bit does not count towards the precision (Note that in situations where M is less than 1, the value is actually a de-normal and therefore may have already suffered precision loss. This situation is ...

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points. This process condenses extensive ...

  8. File:A Byte of Python.pdf - Wikipedia

    en.wikipedia.org/wiki/File:A_Byte_of_Python.pdf

    A Byte of Python: Author: Swaroop C H: Software used: DocBook XSL Stylesheets with Apache FOP: Conversion program: Apache FOP Version 1.1: Encrypted: no: Page size: 595.275 x 841.889 pts (A4) Version of PDF format: 1.4

  9. LEB128 - Wikipedia

    en.wikipedia.org/wiki/LEB128

    Then zero extend the number up to a multiple of 7 bits (such that if the number is non-zero, the most significant 7 bits are not all 0). Break the number up into groups of 7 bits. Output one encoded byte for each 7 bit group, from least significant to most significant group. Each byte will have the group in its 7 least significant bits.