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公开(公告)号:US12112808B2
公开(公告)日:2024-10-08
申请号:US18179372
申请日:2023-03-07
发明人: Szu-Wei Chen , An-Cin Li , Yu-Hung Lin , Kai-Wei Tsou
IPC分类号: G06F11/10 , G06F3/06 , G06F11/07 , G06F11/30 , G06F13/16 , G06F13/28 , G11C16/04 , G11C16/26
CPC分类号: G11C16/26 , G06F3/0619 , G06F3/0659 , G06F3/0688 , G06F11/1068 , G11C16/0483
摘要: A read voltage calibration method, a memory storage device, and a memory control circuit unit are provided. The read voltage calibration method includes: reading data from a first physical unit by using multiple read voltage levels; decoding the data to obtain multiple error evaluation parameters; determining a first vector distance parameter according to a first error evaluation parameter; determining multiple candidate read voltage levels according to the first vector distance parameter and a first read voltage level; determining a target read voltage level according to one of the candidate read voltage levels; and reading the data again from the first physical unit by using the target read voltage level.
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公开(公告)号:US20240249778A1
公开(公告)日:2024-07-25
申请号:US18179372
申请日:2023-03-07
发明人: Szu-Wei Chen , An-Cin Li , Yu-Hung Lin , Kai-Wei Tsou
CPC分类号: G11C16/26 , G06F3/0619 , G06F3/0659 , G06F3/0688 , G06F11/1068 , G11C16/0483
摘要: A read voltage calibration method, a memory storage device, and a memory control circuit unit are provided. The read voltage calibration method includes: reading data from a first physical unit by using multiple read voltage levels; decoding the data to obtain multiple error evaluation parameters; determining a first vector distance parameter according to a first error evaluation parameter; determining multiple candidate read voltage levels according to the first vector distance parameter and a first read voltage level; determining a target read voltage level according to one of the candidate read voltage levels; and reading the data again from the first physical unit by using the target read voltage level.
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公开(公告)号:US20230037782A1
公开(公告)日:2023-02-09
申请号:US17460274
申请日:2021-08-29
发明人: Yi-Hsiang MA , Szu-Wei Chen , Yu-Hung Lin , An-Cheng Liu
摘要: A method for training an asymmetric generative adversarial network to generate an image and an electronic apparatus using the same are provided. The method includes the following. A first real image belonging to a first category, a second real image belonging to a second category and a third real image belonging to a third category are input to an asymmetric generative adversarial network for training the asymmetric generative adversarial network, and the asymmetric generative adversarial network includes a first generator, a second generator, a first discriminator and a second discriminator. A fourth real image belonging to the second category is input to the first generator in the trained asymmetric generative adversarial network to generate a defect image.
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