Hideki Sawaguchi

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A soft-output data-detection scheme optimized for data-dependent media-noise recording channels is investigated that uses signal-dependent correlation-sensitive (SDCS) metric computation for post-processing decoding. This media-noise soft-output (MNS) decoding scheme achieves suboptimal maximum-likelihood (ML) sequence detection in a nonstationary(More)
Recent magnetic disk drives require high transfer rates and recording densities. PRML signaling is now prevalent in digital read/write channels. This PRML chip operates at a maximum data rate of 150 Mb/s with 1550 mW and includes all basic functions such as servo demodulation and write pre-compensation for magnetic disk drives with optimized circuit size.(More)
The short-term iterative decoding implementation proposed in this paper not only uses conventional long-distance Reed-Solomon codes (RS codes), but also uses short-distance RS codes consisting of redundant symbols P and Q periodically inserted into the data in 512-byte sectors. A single parity matrix composed of redundant symbol P is decoded by using a(More)
Non-stationary media noise is one of the major disturbances that occur in higher density perpendicular magnetic recording channels. The strongly signal-dependent and correlated statistical nature of this noise means that it significantly worsens error-rates of traditional partial-response maximum likelihood (PRML) data-detection. As densities of recording(More)
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