Abstract
The new algorithm designed in the thesis is easy to realize. Fast estimation link is introduced in the early stage, which can reconstruct the unknown signal; in addition, index that can reflect signal probability is applied in the thesis to verify the performance of designed algorithm. However, when the sparsity is relatively big, the performance of algorithm designed in the thesis would decline obviously. How to resolve this problem is the key point in the subsequent study.
| Original language | English |
|---|---|
| Pages (from-to) | 7973-7977 |
| Number of pages | 5 |
| Journal | Journal of Computational and Theoretical Nanoscience |
| Volume | 13 |
| Issue number | 11 |
| DOIs | |
| State | Published - 2016 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Distributed compressed sensing
- Estimation system
- Low energy consumption
- Signal reconstruction model
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