Name
Title | ||
|---|---|---|
NBIHT: An Efficient Algorithm for 1-Bit Compressed Sensing With Optimal Error Decay Rate |
Abstract | ||
|---|---|---|
The Binary Iterative Hard Thresholding (BIHT) algorithm is a popular reconstruction method for one-bit compressed sensing due to its simplicity and fast empirical convergence. Despite considerable research on this algorithm, a theoretical understanding of the corresponding approximation error and convergence rate still remains an open problem. This paper shows that the normalized ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIT.2021.3124598 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
Compressed sensing,Approximation error,Quantization (signal),Standards,Sensors,Measurement uncertainty,Approximation algorithms | Journal | 68 |
Issue | ISSN | Citations |
2 | 0018-9448 | 1 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael P. Friedlander | 1 | 1 | 0.37 |
| Halyun Jeong | 2 | 1 | 0.37 |
| Yaniv Plan | 3 | 1174 | 57.19 |
| Özgür Yilmaz | 4 | 685 | 51.36 |