Invention Application
- Patent Title: PARAMETER ESTIMATION WITH MACHINE LEARNING FOR FLASH CHANNEL
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Application No.: US17150861Application Date: 2021-01-15
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Publication No.: US20220231706A1Publication Date: 2022-07-21
- Inventor: Zheng WANG , Ara PATAPOUTIAN
- Applicant: Seagate Technology LLC
- Applicant Address: US CA Fremont
- Assignee: Seagate Technology LLC
- Current Assignee: Seagate Technology LLC
- Current Assignee Address: US CA Fremont
- Main IPC: H03M13/39
- IPC: H03M13/39 ; H03M13/11 ; H03M13/15 ; G11C16/34 ; G11C16/30 ; G06N20/00

Abstract:
Estimation of read parameters for a read channel of a solid-state storage device using a machine learning apparatus. The machine learning apparatus may be provided with signal count metrics from multiple regions of the memory cell signal space and syndrome weights from an error correction code. Other inputs may also be provided comprising metrics of the memory or read operations. In an example, the read parameters may include one or more reference threshold voltage values for read voltages applied to a memory cell and/or log-likelihood ratio (LLR) values for the memory cell.
Information query
IPC分类: