Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals
Finite-rate-of-innovation (FRI) signal model is well suited for time-of-flight imaging applications such as ultrasound, lidar, sonar, radar, and more. Due to their finite degrees of freedom, the sub-Nyquist sampling framework is used for FRI signals. In this framework, sampling is achieved by using...
Main Authors: | Satish Mulleti, Haiyang Zhang, Yonina C. Eldar |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10177164/ |
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