DATA COMPRESSION VIA BINARY SUBSTITUTION
    1.
    发明公开

    公开(公告)号:US20240088910A1

    公开(公告)日:2024-03-14

    申请号:US18471178

    申请日:2023-09-20

    CPC classification number: H03M7/04 H03M7/30 H03M7/55

    Abstract: Embodiments of the present disclosure relate to operations including obtaining a binary source data set and determining a decimal value that represents the source data set. In addition, the operations include determining a Kinetic Data Primer (KDP) that represents the decimal value. The KDP may include a mathematical expression that represents the decimal value. Further, the operations may include storing the KDP as a compressed version of the source data set.

    Data compression via binary substitution

    公开(公告)号:US12136933B2

    公开(公告)日:2024-11-05

    申请号:US18471178

    申请日:2023-09-20

    Abstract: Operations include obtaining a binary source data set and determining a decimal value that represents the source data set. In addition, the operations include determining a Kinetic Data Primer (KDP) that represents the decimal value. The KDP may include a mathematical expression that represents the decimal value. Further, the operations may include storing the KDP as a compressed version of the source data set.

    Sonic Boom: System For Reducing The Digital Footprint Of Data Streams Through Lossless Scalable Binary Substitution

    公开(公告)号:US20180145701A1

    公开(公告)日:2018-05-24

    申请号:US15731813

    申请日:2017-08-07

    CPC classification number: H03M7/04 H03M7/30 H03M7/55

    Abstract: Because all digital data streams are composed of randomly-distributed zeros (0s) and ones (1s) called bits, it can be posited that all arbitrary-length binary data sets having a finite magnitude can be distilled into numerically-precise integers that accurately represent the value of every individual bit within the set. Mathematically, once a data stream's bit structure has been analyzed, the exact combination of its uniquely-assembled bits, its “digital footprint”, can be perfectly replicated simply by calculating the numerical value of each consecutive bit to produce a decimal sum equal to the value of the entire stream. This universal data compression technique is called “SCALABLE BINARY SUBSTITUTION” because the functional objective of the scheme is to analyze the digital footprint of a source data stream, regardless of its magnitude, and substitute the entirety of its encoded information for a simple math expression: Absolutely lossless data compression through mathematically-precise substitution.

    DATA COMPRESSION VIA BINARY SUBSTITUTION

    公开(公告)号:US20250062775A1

    公开(公告)日:2025-02-20

    申请号:US18934920

    申请日:2024-11-01

    Abstract: Embodiments of the present disclosure relate to operations including obtaining a binary source data set and determining a decimal value that represents the source data set. In addition, the operations include determining a Kinetic Data Primer (KDP) that represents the decimal value. The KDP may include a mathematical expression that represents the decimal value. Further, the operations may include storing the KDP as a compressed version of the source data set.

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