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Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals

  • Published:2023 Issue: Volume:11 Page:71048-71062
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Mulleti Satish1ORCID,Zhang Haiyang2ORCID,Eldar Yonina C.3ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India

2. School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

3. Faculty of Mathematics and Computer Science, The Weizmann Institute of Science, Rehovot, Israel

Funder

Israeli Council for Higher Education (CHE) via the Weizmann Data Science Research Center

European Union’s Horizon 2020 Research and Innovation Program

Israel Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Approximate Finite Rate of Innovation Based Seismic Reflectivity Estimation;Circuits, Systems, and Signal Processing;2024-06-16

2. Modulo Sampling of FRI Signals;IEEE Access;2024
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