- 专利标题: Channel Circuit with Trained Neural Network Noise Mixture Estimator
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申请号: US18354178申请日: 2023-07-18
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公开(公告)号: US20240170056A1公开(公告)日: 2024-05-23
- 发明人: Minghai Qin , Chao Sun , Dejan Vucinic , Henry Yip , Jonas Goode , Richard Galbraith , Iouri Oboukhov
- 申请人: Western Digital Technologies, Inc.
- 申请人地址: US CA San Jose
- 专利权人: Western Digital Technologies, Inc.
- 当前专利权人: Western Digital Technologies, Inc.
- 当前专利权人地址: US CA San Jose
- 主分类号: G11C11/54
- IPC分类号: G11C11/54 ; G11C11/416
摘要:
Example channel circuits, data storage devices, and methods for using a trained neural network to estimate the noise mixture in a read signal are described. Samples are determined from a digital read signal, such as the read signal from the non-volatile storage medium of a data storage device. The samples are processed through one or more instances of a neural network comprised of trained coefficients and outputting a set of estimate values for a noise mixture of the read signal. The set of estimate values may then be used to adjust parameters of the read channel for processing the read signal to detect and decode data.
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