Name
Title | ||
|---|---|---|
Ultra-Low Power Dynamic Knob in Adaptive Compressed Sensing Towards Biosignal Dynamics. |
Abstract | ||
|---|---|---|
Compressed sensing (CS) is an emerging sampling paradigm in data acquisition. Its integrated analog-to-information structure can perform simultaneous data sensing and compression with low-complexity hardware. To date, most of the existing CS implementations have a fixed architectural setup, which lacks flexibility and adaptivity for efficient dynamic data sensing. In this paper, we propose a dynam... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TBCAS.2015.2497304 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | Field | DocType |
Sensors,Computer architecture,Low-power electronics,Wireless communication,Quantization (signal),Compressed sensing,Wireless sensor networks | Dynamic programming,Computer science,Data acquisition,Real-time computing,Supervised learning,Electronic engineering,Dynamic data,Biosignal,Wireless sensor network,Signal reconstruction,Compressed sensing | Journal |
Volume | Issue | ISSN |
10 | 3 | 1932-4545 |
Citations | PageRank | References |
3 | 0.38 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aosen Wang | 1 | 87 | 11.07 |
| Feng Lin | 2 | 90 | 13.94 |
| Zhanpeng Jin | 3 | 52 | 5.26 |
| Wenyao Xu | 4 | 615 | 77.06 |