Channel modeling and signal processing for probe storage channels
IEEE Journal on Selected Areas in Communications
Analysis of nonlinear transition shift and write recompensation in perpendicular recording systems
IEEE Journal on Selected Areas in Communications
Maximum-likelihood sequence detector for dynamic mode high density probe storage
IEEE Transactions on Communications
Adaptive noise-predictive maximum-likelihood (NPML) data detection for magnetic tape storage systems
IBM Journal of Research and Development
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Maximum and near-maximum likelihood sequence detectors in signal-dependent noise are discussed. It is shown that the linear prediction viewpoint allows a very simple derivation of the branch metric expression that has previously been shown as optimum for signal-dependent Markov noise. The resulting detector architecture is viewed as a noise predictive maximum likelihood detector that operates on an expanded trellis and relies on computation of branch-specific, pattern-dependent noise predictor taps and predictor error variances. Comparison is made on the performance of various low-complexity structures using the positional-jitter/width-variation model for transition noise. It is shown that when medium noise dominates, a reasonably low complexity detector that incorporates pattern-dependent noise prediction achieves a significant signal-to-noise ratio gain relative to the extended class 4 partial response maximum likelihood detector. Soft-output detectors as well as the use of soft decision feedback are discussed in the context of signal-dependent noise