• Physics
• Published in
  IEEE Transactions on…
  2017
• DOI:10.1109/tmag.2016.2612230

Using Ensemble Waveform Analysis to Compare Heat Assisted Magnetic Recording Characteristics of Modeled and Measured Signals

@article{Hernndez2017UsingEW,
  title={Using Ensemble Waveform Analysis to Compare Heat Assisted Magnetic Recording Characteristics of Modeled and Measured Signals},
  author={Stephanie Hern{\'a}ndez and P. Lu and Steven D. Granz and Pavol Krivo{\vs}{\'i}k and Pin-Wei Huang and Walt Eppler and Tim Rausch and Edward C. Gage},
  journal={IEEE Transactions on Magnetics},
  year={2017},
  volume={53},
  pages={1-6}
}

• Stephanie Hernández, P. Lu, +5 authors Edward C. Gage

Ensemble waveform analysis is used to calculate signal to noise ratio (SNR) and other recording characteristics from micromagnetically modeled heat assisted magnetic recording waveforms and waveforms measured at both drive and spin-stand level. Using windowing functions provides the breakdown between transition and remanence SNRs. In addition, channel bit density (CBD) can be extracted from the ensemble waveforms using the di-bit extraction method. Trends in both transition SNR, remanence SNR… CONTINUE READING

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