Invention Grant
- Patent Title: Compound feature generation in classification of error rate of data retrieved from memory cells
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Application No.: US17939812Application Date: 2022-09-07
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Publication No.: US11726719B2Publication Date: 2023-08-15
- Inventor: Sivagnanam Parthasarathy , James Fitzpatrick , Patrick Robert Khayat , AbdelHakim S. Alhussien
- Applicant: Micron Technology, Inc.
- Applicant Address: US ID Boise
- Assignee: Micron Technology, Inc.
- Current Assignee: Micron Technology, Inc.
- Current Assignee Address: US ID Boise
- Agency: Greenberg Traurig
- Main IPC: G11C11/10
- IPC: G11C11/10 ; G06F3/06 ; G11C16/26 ; G11C16/04 ; G11C16/10

Abstract:
A memory sub-system configured to: measure a plurality of sets of signal and noise characteristics of a group of memory cells in a memory device; determine a plurality of optimized read voltages of the group of memory cells from the plurality of sets of signal and noise characteristics respectively; generate features from the plurality of sets of signal and noise characteristics, including at least one compound feature generated from the plurality of sets of signal and noise characteristics; generate, using the features, a classification of a bit error rate of data retrievable from the group of memory cells; and control an operation to read the group of memory cells based on the classification.
Public/Granted literature
- US20230004328A1 Compound Feature Generation in Classification of Error Rate of Data Retrieved from Memory Cells Public/Granted day:2023-01-05
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