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Uncertainty principle in random quaternion domains
In this paper, we establish Donoho and Stark's uncertainty principle in the framework of quaternionic analysis for random signals, where a probability measure is involved in our generalizations. In particular, the results are given for the right-sided and the two-sided quaternion Fourier transf...
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Published in: | Digital signal processing 2023-05, Vol.136, p.103988, Article 103988 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper, we establish Donoho and Stark's uncertainty principle in the framework of quaternionic analysis for random signals, where a probability measure is involved in our generalizations. In particular, the results are given for the right-sided and the two-sided quaternion Fourier transform, respectively. In the last section we will apply the obtained results in recovery problem for random signals. Several numerical experiments are used to demonstrate the performance of the proposed methods. |
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ISSN: | 1051-2004 1095-4333 |
DOI: | 10.1016/j.dsp.2023.103988 |