Compression of high dynamic ratio fields for machine learning

Various embodiments include methods and devices for implementing decompression of compressed high dynamic ratio fields. Various embodiments may include receiving compressed first and second sets of data fields, decompressing the first and second compressed sets of data fields to generate first and s...

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Bibliographic Details
Main Authors Aleksic, Milivoje, Szeto, Victor, Sung, Clara Ka Wah, Longo, Tom, Podaima, Jason Edward, Boisjoly, Richard, Hsieh, Cheng-Teh, Varia, Meghal, Chong, In-Suk, Gadelrab, Serag
Format Patent
LanguageEnglish
Published 02.08.2022
Subjects
BASIC ELECTRONIC CIRCUITRY
CALCULATING
CODE CONVERSION IN GENERAL
CODING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DECODING
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
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Summary:Various embodiments include methods and devices for implementing decompression of compressed high dynamic ratio fields. Various embodiments may include receiving compressed first and second sets of data fields, decompressing the first and second compressed sets of data fields to generate first and second decompressed sets of data fields, receiving a mapping for mapping the first and second decompressed sets of data fields to a set of data units, aggregating the first and second decompressed sets of data fields using the mapping to generate a compression block comprising the set of data units.
Bibliography:Application Number: US202117333282