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Hybrid Window Decoding for Joint Source Channel Anytime Coding System.

Li Deng1,2, Zhiping Shi1,2, Yixin Wang3

  • 1National Key Laboratory on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China.

Entropy (Basel, Switzerland)
|November 27, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a joint hybrid window decoding (JHWD) algorithm for joint source channel anytime coding (JSCAC) systems. JHWD reduces decoding complexity while maintaining error correction performance, offering a practical solution for JSCAC and other spatially coupled coding systems.

Keywords:
adaptive local expanding window decodinganytime codingjoint source channel coding (JSCC)

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Area of Science:

  • Information Theory
  • Coding Theory
  • Digital Communications

Background:

  • Joint Source Channel Anytime Coding (JSCAC) combines source and channel coding for improved performance.
  • Existing JSCAC systems often use Joint Expanding Window Decoding (JEWD), which offers high error correction but also high complexity.
  • There is a need for decoding algorithms that balance performance and complexity in JSCAC.

Purpose of the Study:

  • To propose a novel Joint Hybrid Window Decoding (JHWD) algorithm for JSCAC systems.
  • To reduce the decoding complexity of JSCAC while preserving error correction capabilities.
  • To provide a low-complexity implementation option for JSCAC and related coding structures.

Main Methods:

  • Development of a Joint Hybrid Window Decoding (JHWD) algorithm.
  • Implementation of adaptive local expanding window decoding guided by syndrome-check-based detection.
  • Utilizing a hybrid window structure to manage window expansion and sliding.
  • Proposing an improved density evolution algorithm for asymptotic performance analysis.

Main Results:

  • The JHWD algorithm effectively reduces decoding complexity associated with window expansion.
  • Error propagation caused by window sliding is mitigated by the hybrid window approach.
  • The proposed JHWD scheme demonstrates comparable error correction performance to state-of-the-art methods.
  • Asymptotic performance analysis confirms the effectiveness of the JHWD algorithm.

Conclusions:

  • The JHWD algorithm presents a viable low-complexity solution for JSCAC systems.
  • This decoding scheme is suitable for various Joint Source Channel Coding (JSCC) systems employing spatially coupled codes.
  • JHWD offers a practical trade-off between decoding complexity and error correction performance.