Read threshold estimation systems and methods using deep learning
US11960989B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2020 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Feb 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11C2211/5632
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A controller estimates optimal read threshold values for a memory device using deep learning. The memory device includes multiple pages coupled to select word lines in a memory region. The controller performs multiple read operations on a select type of page for each word line using multiple read threshold sets, obtains fail bit count (FBC) information associated with each read operation, and determines an optimal read threshold set for each word line based on the FBC information. When optimal read threshold sets for the select word lines are different each other, the controller predicts a best read threshold set using the optimal read threshold sets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.