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US Patent 11626168 De-noising using multiple threshold-expert machine learning models
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Patent
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Date Filed
March 10, 2021
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Date of Patent
April 11, 2023
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Patent Application Number
17197617
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Patent Citations
US Patent 10734087 Retention-drift-history-based non-volatile memory read threshold optimization
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US Patent 10861562 Deep learning based regression framework for read thresholds in a NAND flash memory
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US Patent 10866856 Memory system and operating method thereof
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US Patent 11024391 System and method for estimating uninformed log-likelihood ratio (LLR) for NAND flash memories
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US Patent 11086569 Memory system and method
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US Patent 11355203 Determine optimized read voltage via identification of distribution shape of signal and noise characteristics
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US Patent 11177831 LLR estimation for soft decoding
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US Patent 11393539 Systems and methods for determining change of read threshold voltage
US Patent 10446246 Method and apparatus for data refresh for analog non-volatile memory in deep learning neural network
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US Patent 10460818 Retention-drift-history-based non-volatile memory read threshold optimization
Patent Inventor Names
Sergey Gendel
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Amit Berman
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Evgeny Blaichman
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Ron Golan
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
11626168
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Patent Primary Examiner
Esaw T Abraham
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CPC Code
G06F 11/1068
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G06F 3/0679
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G06F 3/0659
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G06F 3/0604
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G11C 16/26
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G11C 29/04
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G11C 16/04
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G06F 3/064
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G06F 11/1044
0
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