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

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.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This Non-Provisional Patent Application claims priority to and the benefit of the filing date of Provisional Patent Application No. U.S. 62 / 495,056, filed on Sep. 1, 2016, entitled “SONIC BOOM: SYSTEM FOR REDUCING THE DIGITAL FOOTPRINT OF DATA STREAMS THROUGH LOSSLESS SCALABLE BINARY SUBSTITUTION”, which is hereby incorporated by reference in its entirety.BACKGROUND OF THE INVENTION(1) Field of the Invention[0002]This patent specification relates to novel data compression schemes and various algorithmic frameworks for reducing the size of digital source data. More particularly, this non-provisional patent specification describes a universally-scalable platform / protocol / format-agnostic data substitution scheme that is capable of compressing any mode of digitized source data by output ratios that are approximate to the inverse magnitude of the source data being converted while maintaining 100.000% lossless data retention.(2) Background Art[...

AI Technical Summary

Benefits of technology

The patent text describes a new algorithm called scalable binary substitution (SBS) that can efficiently compress and manage large amounts of binary data. SBS uses the rules of binary arithmetic to replicate and flawlessly compress the digital footprint of data streams, which helps to achieve universally-scalable data compression that maintains perfect lossless data retention. The technical effects of SBS include improved efficiency, precision, and portability for managing data across various platforms and applications. Overall, SBS is a valuable tool for seamless integration and secure synchronization of some of the most advanced digital technologies.

Problems solved by technology

Furthermore, the mass proliferation of internet-connected appliances of every flavor has created sub-optimal levels of global network throughput congestion that has inadvertently exposed critical design flaws in the internet's fabric unforeseen by the architects of the world's digital communication infrastructure.