Systems and methods for modeless read threshold voltage estimation
US11769556B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2021 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Sep 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11C29/028
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments provide a scheme for estimating an optimal read threshold voltage using a deep neural network (DNN) with a reduced number of processing. A controller includes a combined neural network, which receives first and second cumulative distribution function (CDF) values, each CDF value corresponding to a program voltage (PV) level associated with a read operation on the cells. The combined neural network generates first and second connection vectors based on the first and second CDF values and first weight values, and estimates an optimal read threshold voltage based on the first and second connection vectors and second weight values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.