Maximum a Posteriori Estimation Using the EM Algorithm for Linear Codes With Low-Density Generator Matrix in Magnetic Recording Systems

In high-density digital magnetic recording channels, magnetic recording systems are influenced by media noise. It is known that jitter noise is one of the principal sources of the media noise and depends on recording signal patterns. For such a jitter-noise dominant recording channel with continuous...

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Bibliographic Details
Published inIEEE transactions on magnetics Vol. 43; no. 2; pp. 733 - 739
Main Authors Saito, H., Hayashi, M., Kohno, R.
Format Journal Article Conference Proceeding
LanguageEnglish
Published New York, NY IEEE 01.02.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Channels
Cross-disciplinary physics: materials science; rheology
Decoding
Exact sciences and technology
Expectation maximization (EM) algorithm
Iterative algorithms
Iterative decoding
Jitter
Linear code
linear codes with low-density generator matrix
Magnetic noise
Magnetic recording
Magnetism
Materials science
maximum a posteriori (MAP) decoding
Maximum likelihood decoding
Maximum likelihood estimation
Media
Noise
Other topics in materials science
Perpendicular magnetic recording
perpendicular magnetic recording systems
Physics
Recording
Signal processing algorithms
Proceedings
maximum a posteriori (MAP) decoding
Expectation maximization (EM) algorithm
Recording material
linear codes with low-density generator matrix
perpendicular magnetic recording systems
Density
Magnetic recording
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ISSN0018-9464
1941-0069
DOI10.1109/TMAG.2006.888372

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Summary:In high-density digital magnetic recording channels, magnetic recording systems are influenced by media noise. It is known that jitter noise is one of the principal sources of the media noise and depends on recording signal patterns. For such a jitter-noise dominant recording channel with continuous erasures, maximum a posteriori (MAP) decoding is hard to minimize the error rate performance of signal processing systems. To improve MAP decoding performance, sequence estimation using the expectation maximization (EM) algorithm is introduced to identify each distribution of the jitter noise in the normal mixture model and estimates the missing sequences which are caused by continuous erasures
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ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2006.888372