| 摘要 |
A magnetic read channel employs an artificial neural network for reconstruction of a recorded magnetic signal and its corresponding synchronization signal. A magnetic read head receives magnetic signals from a magnetic recording media such as a magnetic tape or disk and converts it to an electronic signal. A preamplifier receives and amplifies the electronic signal from the magnetic read head to produce an amplified electronic signal. A delay line receives the amplified electronic signal from the preamplifier, storing delayed successive representations of the received signal. An artificial neural network receives the delayed successive representations from the delay line for reconstruction of the originally recorded data signal. Prior to use in an application, the artificial neural network is trained via a training method with a known training set of corresponding simultaneously generated data and clock pairs. Training the network with data having such known clock (synchronization) signal enables extraction of the synchronization signal from its nonlinear properties hidden within its corresponding data.
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