PARAMETER ESTIMATION WITH MACHINE LEARNING FOR FLASH CHANNEL

    公开(公告)号:US20220231706A1

    公开(公告)日:2022-07-21

    申请号:US17150861

    申请日:2021-01-15

    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.

    CONCURRENT RECURSIVE-READ AVERAGING AND ITERATIVE INNER AND OUTER CODE DECODING

    公开(公告)号:US20210399746A1

    公开(公告)日:2021-12-23

    申请号:US16908593

    申请日:2020-06-22

    Abstract: In one implementation, the disclosure provides a decoding system that concurrently executes a read sample combining recovery process and an iterative outer code (IOC) recovery process. Performing the read sample combining recovery process entails executing multiple rounds of logic that each provide for combining together different data samples read from a data block. The IOC recovery process is performed at least partially concurrent with the read sample combining recovery process and each round of the IOC recovery process is based on newly-updated data samples generated by the read sample combining recovery process.

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