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As data detectors became more sophisticated, it was found important to deal with any residual signal nonlinearities as well as pattern-dependent noise (noise tends to be largest when there is a magnetic transition between bits) including changes in noise-spectrum with data-pattern. To this end, the Viterbi-detector was modified such that it recognized the expected signal-level and expected noise variance associated with each bit-pattern. As a final step, the detectors were modified to include a 'noise predictor filter' thus allowing each pattern to have a different noise-spectrum. Such detectors are referred to as Pattern-Dependent Noise-Prediction (PDNP) detectors<ref>[https://ieeexplore.ieee.org/abstract/document/920181 J. Moon, J. Park, “Pattern-dependent noise prediction in signal dependent noise,” IEEE J. Sel. Areas Commun., vol. 19, no. 4, pp. 730–743, Apr. 2001]</ref> or [[noise-predictive maximum-likelihood detection|noise-predictive maximum-likelihood detectors]] (NPML)<ref>[https://ieeexplore.ieee.org/document/539233 E. Eleftheriou, W. Hirt, "Improving Performance of PRML/EPRML through Noise Prediction". IEEE Trans. Magn. Vol. 32, No. 5, pp. 3968–3970, Sept. 1996]</ref>. Such techniques have been more recently applied to digital tape recorders<ref>[https://ieeexplore.ieee.org/document/5438946 E. Eleftheriou, S. Ölçer, R. Hutchins, "Adaptive Noise-Predictive Maximum-Likelihood (NPML) Data Detection for Magnetic Tape Storage Systems", IBM J. Res. Dev. Vol. 54, No. 2, pp. 7.1-7.10, March 2010]</ref>.
== Recent Read/Write Electronics ==
Although the PRML acronym is still occasionally used, the most advanced detectors today (as of 2017) are around a
== See also ==
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