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Error Correction Coding (ECC) has been a crucial part of data storage for decades. In the future, its role will become even more important. ECC is used in the data storage industry not only to ensure the integrity of the user's vital data, but also to improve yields and to increase capacity.

KnowledgeTek is pleased to respond to our industry's changing needs by introducing the first class specifically designed to teach the details of ECC - in a style that is easily understood by the working engineer. The class clearly and concisely presents the foundations of ECC as applied to hard disk drives. The seminar covers basics, such as the difference between error detection and correction. It also introduces advanced topics, such as Turbo and LDPC codes, which seem destined to shape the future of data storage devices. In between these extremes, this class provides an intuitive understanding of parity, Reed-Solomon, Hamming, BCH and convolutional codes. Implementation issues are covered, as well. While math is an inevitable part of understanding ECC, this class provides a working understanding of the principles and techniques of ECC without overwhelming the student with excessive math.

This 2-day class has no prerequisites, but good math skills, and a basic knowledge of disk, tape or optical drives (such as from our 3-day Disk Drive Technology class) will be helpful. This class is targeted for those new to ECC and those who want to refresh their knowledge of the topic. Those with a background in PRML channels will especially benefit from this class.
 

Overview Purposes of ECC Introduction of key terms Relationships between various     code types Examples illustrating the main     concepts of ECC Codes in Disk Drives Codes traditionally in the     read/write channel Codes traditionally in the controller Codes traditionally in the interface Opportunities and problems with     SoC integration Systematic Linear Block Codes Parity-check codes Generator matrix Parity-check matrix Syndrome testing Cosets and correction Example codes and their capabilities Cyclic Systematic Linear     Block Codes Description and comparison BCH codes Introduction to Galois fields Reed-Solomon codes Convolutional Codes Description Benefits and issues The magnetic recording process as a    convolutional code (ISI) Viterbi detection in data storage

Introduction to Turbo Codes Invention of Turbo coding for digital    communications Why Turbo coding works Implications for hard disk drives The concept of iterative detection Serial and parallel concatenation Improving Code Performance Interleaving Concatenation Soft-output vs. hard-output Extrinsic information Soft-Output Viterbi Algorithm (SOVA) Description and example Uses and interpretation Implementation issues Role in iterative detection system LDPC (Low-Density Parity-Check) Codes Description LDPC vs. Turbo codes Tanner Graphs Introduction to Message Passing System-level Considerations Iterative detection architecture    examples Convergence behavior implications Speed, throughput, latency and power Changes in Timing recovery Summary and Future Trends Review of ECC terms and concepts Data rate trends Impact of consumer electronics

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