Coprime Interpolation and Compressive Sensing for Future Heterogeneous Network Towards 5G
| Autor: | Qilian Liang, Na Wu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
0211 other engineering and technologies ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION compressive sensing 02 engineering and technology Iterative reconstruction High resolution image in 5G Upsampling co-prime interpolation 0202 electrical engineering electronic engineering information engineering General Materials Science Computer vision Electrical and Electronic Engineering Image resolution 021101 geological & geomatics engineering Mathematics Standard test image business.industry General Engineering PSNR 020206 networking & telecommunications Stairstep interpolation RMSE Compressed sensing Artificial intelligence lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 Heterogeneous network Interpolation |
| Zdroj: | IEEE Access, Vol 5, Pp 22004-22012 (2017) |
| ISSN: | 2169-3536 |
| Popis: | Because of enormous amount of images and videos to be transmitted in 5G, it is quite desirable to do aggressive downsampling in the transmission side. As a consequence, the co-prime-interpolated compressive sensing approach, which could recover the downsampled data in the receiver side, is proposed in this paper. The co-prime structure, interpolation, and compressive sensing are combined in order to improve the resolution of reconstructed images through compressive-sensing. The numerical analysis of root mean square error and peak signal-to-noise ratio is examined, respectively. This new approach is applied on the test image and real data. The results prove that our approach provides a potential solution for future heterogeneous network toward 5G. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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