Abstract | ||
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We consider the problem of estimating a signal from noisy circularly translated versions of itself, called multireference alignment (MRA). One natural approach to MRA could be to estimate the shifts of the observations first, and infer the signal by aligning and averaging the data. In contrast, we consider a method based on estimating the signal directly, using features of the signal that are inva... |
Year | DOI | Venue |
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2018 | 10.1109/TSP.2017.2775591 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Signal processing algorithms,Signal to noise ratio,Noise measurement,Estimation,Discrete Fourier transforms,Optimization,Manifolds | Journal | 66 |
Issue | ISSN | Citations |
4 | 1053-587X | 10 |
PageRank | References | Authors |
0.63 | 19 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tamir Bendory | 1 | 110 | 15.46 |
Boumal, Nicolas | 2 | 178 | 14.50 |
Chao Ma | 3 | 85 | 27.49 |
Zhizhen Zhao | 4 | 42 | 6.36 |
A. Singer | 5 | 695 | 52.77 |