4.7 Article

Spatially Coupled Sparse Codes on Graphs: Theory and Practice

期刊

IEEE COMMUNICATIONS MAGAZINE
卷 52, 期 7, 页码 168-176

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.2014.6852099

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资金

  1. National Science Foundation [CCF-1161754, CCF-1161774, CCF-1161798, CCF-1252788]
  2. Direct For Mathematical & Physical Scien
  3. Division Of Mathematical Sciences [1313221] Funding Source: National Science Foundation
  4. Division of Computing and Communication Foundations
  5. Direct For Computer & Info Scie & Enginr [1440001, 1161754] Funding Source: National Science Foundation
  6. Division of Computing and Communication Foundations
  7. Direct For Computer & Info Scie & Enginr [1252788] Funding Source: National Science Foundation

向作者/读者索取更多资源

Since the discovery of turbo codes 20 years ago and the subsequent rediscovery of low-density parity check codes a few years later, the field of channel coding has experienced a number of major advances. Until that time, code designers were usually happy with performance that came within a few decibels of the Shannon Limit, primarily due to implementation complexity constraints, whereas the new coding techniques now allow performance within a small fraction of a decibel of capacity with modest encoding and decoding complexity. Due to these significant improvements, coding standards in applications as varied as wireless mobile transmission, satellite TV, and deep space communication are being updated to incorporate the new techniques. In this article, we review a particularly exciting new class of low-density parity check codes called spatially coupled codes, which promise excellent performance over a broad range of channel conditions and decoded error rate requirements.

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