MACHINE-LEARNING ERROR-CORRECTING CODE CONTROLLER

A machine-learning (ML) error-correcting code (ECC) controller may include a hard-decision (HD) ECC decoder optimized for high-speed data throughput, a soft-decision (SD) ECC decoder optimized for high-correctability data throughput, and a machine-learning equalizer (MLE) configured to variably sele...

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Bibliographische Detailangaben
Hauptverfasser:	BERMAN, Amit, COHEN, Lital, DOUBCHAK, Ariel, BLAICHMAN, Evgeny, SHAPIRO, Dikla
Format:	Patent
Sprache:	eng
Schlagworte:	BASIC ELECTRONIC CIRCUITRY CALCULATING CODE CONVERSION IN GENERAL CODING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DECODING ELECTRICITY PHYSICS
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Beschreibung
Zusammenfassung:	A machine-learning (ML) error-correcting code (ECC) controller may include a hard-decision (HD) ECC decoder optimized for high-speed data throughput, a soft-decision (SD) ECC decoder optimized for high-correctability data throughput, and a machine-learning equalizer (MLE) configured to variably select one of the HD ECC decoder or the SD ECC decoder for data throughput. An embodiment of the ML ECC controller may provide speed-optimized HD throughput based on a linear ECC. The linear ECC may be a soft Hamming permutation code (SHPC).