The two-path tree search is a detection algorithm that improves the performance of standard decision-feedback equalizer detectors by examining two likely paths through the decision tree. The method achieves about 1-dB improvement over standard decision-feedback equalization for typical magnetic recording channels used in hard disk drives. The implementation complexity is modest and is compared with other improved decision-feedback structures.
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