Recurrent neural network based turbo decoding algorithms for different code rates
Application of deep learning to error control coding is gaining special attention and neural network architectures on decoding are approached to compare with conventional ones. Turbo codes conventionally use BCJR algorithm for decoding. In this paper, performances of neural Turbo decoder and deep le...
Saved in:
| Main Authors: | Shridhar B. Devamane, Rajeshwari L. Itagi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-06-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157820303323 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Haberleşme Sistemlerinde Turbo Kodlama ve Turbo İlkesinin Bazı Pratik Uygulamaları
by: Selman KULAÇ, et al.
Published: (2014-06-01) -
Understanding turbo codes: A signal processing study
by: Xiang-Gen Xia
Published: (2024-01-01) -
Method for limiting the peak factor using an additional compensation signal in a system with orthogonal frequency division multiplexing for a Gaussian channel
by: Th. T. Pham, et al.
Published: (2024-10-01) -
Reduced complexity hard‐ and soft‐input BCH decoding with applications in concatenated codes
by: Jürgen Freudenberger, et al.
Published: (2021-05-01) -
Temperature Distribution of Air-cooling Turbo-Generator Rotor
by: Wang Fang, et al.
Published: (2018-02-01)