Name
Title | ||
|---|---|---|
Sparsity-Inspired Nonparametric Probability Characterization for Radio Propagation in Body Area Networks. |
Abstract | ||
|---|---|---|
Parametric probability models are common references for channel characterization. However, the limited number of samples and uncertainty of the propagation scenario affect the characterization accuracy of parametric models for body area networks. In this paper, we propose a sparse nonparametric probability model for body area wireless channel characterization. The path loss and root-mean-square de... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JBHI.2014.2334714 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Distribution functions,Estimation,Radio propagation,Kernel,Biological system modeling,Delays,Educational institutions | Wireless,Computer science,Artificial intelligence,Kernel (linear algebra),Parametric model,Pattern recognition,Algorithm,Communication channel,Nonparametric statistics,Parametric statistics,Path loss,Radio propagation,Machine learning | Journal |
Volume | Issue | ISSN |
19 | 3 | 2168-2194 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaodong Yang | 1 | 2 | 2.47 |
| Shuyuan Yang | 2 | 15 | 0.87 |
| Qammer Hussain Abbasi | 3 | 0 | 0.34 |
| Zhiya Zhang | 4 | 0 | 0.34 |
| Aifeng Ren | 5 | 0 | 0.34 |
| Wei Zhao | 6 | 9 | 4.55 |
| Akram Alomainy | 7 | 0 | 1.01 |