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With the massive amount of data produced and stored each year, reliable storage and retrieval of information is more crucial than ever. Robust coding and decoding techniques are critical for correcting errors and maintaining data integrity. Comprising chapters thoughtfully selected from the highly popular Coding and Signal Processing for Magnetic Recording Systems, Advanced Error Control Techniques for Data Storage Systems is a finely focused reference to the state-of-the-art error control and modulation techniques used in storage devices.

The book begins with an introduction to error control codes, explaining the theory and basic concepts underlying the codes. Building on these concepts, the discussion turns to modulation codes, paying special attention to run-length limited sequences, followed by maximum transition run (MTR) and spectrum shaping codes. It examines the relationship between constrained codes and error control and correction systems from both code-design and architectural perspectives as well as techniques based on convolution codes. With a focus on increasing data density, the book also explores multi-track systems, soft decision decoding, and iteratively decodable codes such as Low-Density Parity-Check (LDPC) Codes, Turbo codes, and Turbo Product Codes.

Advanced Error Control Techniques for Data Storage Systems offers a comprehensive collection of theory and techniques that is ideal for specialists working in the field of data storage systems.

With the massive amount of data produced and stored each year, reliable storage and retrieval of information are more crucial than ever. Drawn from the pages of the highly popular Coding and Signal Processing for Magnetic Recording Systems, this finely focused reference details state-of-the-art error control and correction methods used in storage devices. The book begins with the properties and practical aspects of error control codes, followed by channel models and coding methods for multi-track systems. The last section discusses recent developments in error control and correction systems as applied to data storage channels, including Turbo Codes, low-density parity-check codes, and Turbo Product Codes.

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AN INTRODUCTION TO ERROR-CORRECTING CODES; Mario BlaumIntroductionLinear CodesSyndrome Decoding, Hamming Codes, and Capacity of the ChannelCodes Over Bytes and Finite FieldsCyclic CodesReed Solomon CodesDecoding of RS Codes: The Key EquationDecoding RS Codes with Euclid's AlgorithmApplications: Burst and Random Error CorrectionMODULATION CODES FOR STORAGE SYSTEMS; Brian Marcus and Emina SoljaninIntroductionConstrained Systems and CodesConstraints for ISI ChannelsChannels with Colored Noise and Intertrack InterferenceAn ExampleFuture DirectionsRUNLENGTH LIMITED SEQUENCES; Kees A. Schouhamer ImminkIntroductionAsymptotic Information RateOther ConstraintsCodes for the Noiseless ChannelMAXIMUM TRANSITION RUN CODING; Barrett J. BricknerIntroductionError Event CharacterizationMaximum Transition Run CodesDetector Design for MTR ConstraintsSimulation ResultsSummarySPECTRUM SHAPING CODES; Stojan Denic and Bane VasicIntroductionRecording System and Spectrum Shaping CodesDc-Free CodesCodes with Higher Order Spectral ZerosComposite Constrained and Combined EncodingConclusionINTRODUCTION TO CONSTRAINED BINARY CODES WITH ERROR CORRECTION CAPABILITY; Hendrik C. Ferreira and Willem A. ClarkIntroductionBoundsExample: A Trellis Code ConstructionAn Overview of Some Other Code ConstructionsPost Combined Coding System ArchitecturesConclusionCONSTRAINED CODING AND ERROR-CONTROL CODING; John L. FanIntroductionConfigurationsReverse Concatenation and Soft Iterative DecodingCONVOLUTIONAL CODES FOR PARTIAL-RESPONSE CHANNELS; Bartolomeu F. Uchoa-Filho, Mark A. Herro, Miroslav Despotovic, and Vojin ?enkIntroductionEncoding System Description and PreliminariesTrellis Codes for Partial-Response Channels Based Upon the Hamming MetricTrellis-Matched Codes for Partial-Response ChannelsRun-Length Limited Trellis-Matched CodesAvoiding Flawed CodewordsThe Distance Spectrum Criterion for Trellis CodesGood Trellis-Matched Codes for the Partial-Response Channels Based on the Distance Spectrum CriterionCAPACITY-APPROACHING CODES FOR PARTIAL RESPONSE CHANNELS; Nedeljko Varnica, Xiao Ma, and Aleksandar KavcicIntroductionThe Channel Model and Capacity DefinitionsTrellis Codes, Superchannels and Their Information RatesMatched Information Rate (MIR) Trellis CodesOuter LDPC CodesOptimization ResultsConclusionCODING AND DETECTION FOR MULTITRACK SYSTEMS; Bane Vasic and Olgica MilenkovicIntroductionThe Current State of Research in Multitrack CodesMultitrack Channel ModelMultitrack Constrained CodesMultitrack Soft Error-Event Correcting SchemeTURBO CODES; Mustafa N. Kaynak, Tolga M. Duman, and Erozan M. KurtasPrinciples of Turbo CodingIterative Decoding of Turbo CodesPerformance of Turbo Codes over AWGN ChannelsRecording ChannelsTurbo Codes for Recording ChannelsPerformance of Turbo Codes over Recording ChannelsSummaryAN INTRODUCTION TO LDPC CODES; William E. RyanIntroductionRepresentations of LDPC CodesLDPC Code Design ApproachesIterative Decoding AlgorithmsConcluding RemarksCONCATENATED SINGLE-PARITY CHECK CODES FOR HIGH-DENSITY DIGITAL RECORDING SYSTEMS; Jing Li, Krishna R. Narayanan, Erozan M. Kurtas, and Travis R. OenningIntroductionSystem ModelAnalysis of Distance SpectrumThresholds Analysis using Density EvolutionSimulation ResultsConclusionSTRUCTURED LOW-DENSITY PARITY-CHECK CODES; Bane Vasic, Erozan M. Kurtas, Alexander Kuznetsov, and Olgica MilenkovicIntroductionCombinatorial Designs and Their Bipartite GraphsLDPC Codes on Projective PlanesLattice Construction of LDPC CodesApplication in the Partial Response (PR) ChannelsConclusionTURBO CODING FOR MULTITRACK RECORDING CHANNELS; Zheng Zhang, Tolga M. Duman, and Erozan M. KurtasIntroductionMultitrack Recording ChannelsInformation Theoretical Limits: Achievable Information RatesTurbo Coding for Multitrack Recording SystemsDiscussionINDEX

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