Finite-State Modulation Codes for Data Storage

Brian H. Marcus; Paul H. Siegel; Jack K. Wolf

doi:10.1109/49.124467

IEEE Journal on Selected Areas in Communications

Paper

01 Jan 1992

Finite-State Modulation Codes for Data Storage

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Abstract

This paper provides a self-contained exposition of modulation code design methods based upon the state splitting algorithm. The techniques are applied to the design of several codes of interest in digital data recording. © 1992 IEEE

Paper

Modulation and coding for information storage the success of certain modulation and coding techniques in data communications have inspired promising new applications in digital data storage

Paul H. Siegel, Jack K. Wolf

IEEE Communications Magazine

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Large Deviation Theorems for Empirical Types of Markov Chains Constrained to Thin Sets

Paul H. Algoet, Brian H. Marcus

IEEE Trans. Inf. Theory

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Optimal block-type-decodable encoders for constrained systems

Panu Chaichanavong, Brian H. Marcus

IEEE Trans. Inf. Theory

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Time-varying encoders for constrained systems: an approach to limiting error propagation

Jonathan J. Ashley, Brian H. Marcus

IEEE Trans. Inf. Theory

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Abstract

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Modulation and coding for information storage the success of certain modulation and coding techniques in data communications have inspired promising new applications in digital data storage

Large Deviation Theorems for Empirical Types of Markov Chains Constrained to Thin Sets

Optimal block-type-decodable encoders for constrained systems

Time-varying encoders for constrained systems: an approach to limiting error propagation