会议论文详细信息
| 2017 2nd International Seminar on Advances in Materials Science and Engineering | |
| Design of convolutional tornado code | |
| Zhou, Hui^1,2 ; Yang, Yao^2 ; Gao, Hongmin^2 ; Tan, Lu^1 | |
| College of Computer and Software, Nanjing Institute of Industry Technology, Nanjing | |
| 210023, China^1 | |
| College of Computer and Information Engineering, Hohai University, Nanjing | |
| 211100, China^2 | |
| 关键词: Computation complexity; Encoding/decoding; Linear block code; Loss protection; Multi-level structures; Protection capabilities; Tornado codes; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012061/pdf DOI : 10.1088/1757-899X/231/1/012061 |
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| 来源: IOP | |
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【 摘 要 】
As a linear block code, the traditional tornado (tTN) code is inefficient in burst-erasure environment and its multi-level structure may lead to high encoding/decoding complexity. This paper presents a convolutional tornado (cTN) code which is able to improve the burst-erasure protection capability by applying the convolution property to the tTN code, and reduce computational complexity by abrogating the multi-level structure. The simulation results show that cTN code can provide a better packet loss protection performance with lower computation complexity than tTN code.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Design of convolutional tornado code | 307KB |
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