Sliding-Window Turbo Equalization and Its Reduced-Complexity Decoding Techniques-Reference-Cited by-同舟云学术

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Sliding-Window Turbo Equalization and Its Reduced-Complexity Decoding Techniques

Published:2022 Issue: Volume:10 Page:46558-46570
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khittiwitchayakul Sirawit¹^ORCID,Phakphisut Watid¹^ORCID

Affiliation:

1. School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

Funder

National Science, Research and Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09761867.pdf?arnumber=9761867

Reference37 articles.

1. An intuitive justification and a simplified implementation of the MAP decoder for convolutional codes

2. Efficient message passing scheduling for terminated LDPC convolutional codes

3. Reduced Complexity Sliding Window BCJR Decoding Algorithms for Turbo Codes

4. LDPC Block and Convolutional Codes Based on Circulant Matrices

5. Regular and irregular progressive edge-growth tanner graphs

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