A simple model for transition interactions with the microtrack model

Caroselli, J.; Fitzpatrick, J.; Wolf, J.K.

doi:10.1109/icc.1998.685150

Cited by 6 publications

(1 citation statement)

References 19 publications

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“…They are attractive because of their simplicity, speed, and flexibility compared to other signal models [1]- [3]. A recent paper presented a parametric model that will accurately reproduce real head/media statistics [3], however, its flexibility is somewhat limited because it requires some synchronous signal for training.…”

Section: Introductionmentioning

confidence: 98%

Error event analysis of EPR4 and ME/sup 2/PR4 channels: captured head signals versus Lorentzian signal models

Keirn²

2000

IEEE Trans. Magn.

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Spin-stand error event analysis is conducted for EPR4 and modified E 2 PR4 (ME 2 PR4) channels. The error event distributions for 16 17 random code and 16 17 QMTR code at user bit densities (UBD) of 2.5, 3.0 and 3.5 were investigated. Captured spin-stand waveforms were processed through a software channel and the error events were analyzed. The distribution of error events for spin-stand data is compared to the conventional Lorentzian model for 100% AWGN noise colored by the equalizer and for the 100% jitter noise case. Results show that neither Lorentzian model accurately predicts the spin-stand results by themselves or as a mix, however by considering the two extreme models, all the major error events are accounted for.Index Terms-Digital magnetic recording, error event distribution, Lorentzian model, spin-stand signal.

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Section: Introductionmentioning

confidence: 98%