Abstract:
Variations of the Nelder-Mead direct search method are employed to find read channel parameter settings in a discrete field having three or more dimensions. The three or more dimensions correspond to read channel parameters, at least some of which are highly correlated. The steps of the Nelder-Mead method are executed according to a methodology to arrive at substantially optimal parameter settings for a read channel, even where a discrete function defining parameter outcomes is noisy. In some embodiments, dimensional collapse, considered inefficient in a two-dimensional field, is allowed in order to reach an optimal solution in a greater-than-two-dimensional field.
Abstract:
Variations of the Nelder-Mead direct search method are employed to find read channel parameter settings in a discrete field having three or more dimensions. The three or more dimensions correspond to read channel parameters, at least some of which are highly correlated. The steps of the Nelder-Mead method are executed according to a methodology to arrive at substantially optimal parameter settings for a read channel, even where a discrete function defining parameter outcomes is noisy. In some embodiments, dimensional collapse, considered inefficient in a two-dimensional field, is allowed in order to reach an optimal solution in a greater-than-two-dimensional field.
Abstract:
In one embodiment, a read/write chip for a hard disc drive has at least one on-chip, in-channel, hardware-based optimization processor that is part of one or more channels (e.g., read, write, and/or servo) of the read/write chip. The optimization processor can iteratively evaluate the performance of a channel for different values of one or more different parameters that control channel processing by generating an appropriate metric value for each different parameter value. The optimization processor can then select an optimal parameter value for subsequent channel processing.