Nyquist Sampling Theorem
The Nyquist Sampling Theorem is a fundamental principle in signal processing that specifies the minimum sampling rate required to accurately reconstruct a continuous band-limited signal from its discrete samples without aliasing, stating that the sampling frequency must be at least twice the highest frequency present in the signal.
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Variants
Nyquist-shannon Sampling TheoremWhittaker-nyquist-kotelnikov-shannon TheoremWks Theorem
Parents
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Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon et al. · ACM Transactions on Graphics · 2019 · 1.1K citations · Full text
Wideband spectrum sensing for cognitive radio networks: a survey
Hongjian Sun, Arumugam Nallanathan, Cheng‐Xiang Wang et al. · IEEE Wireless Communications · 2013 · 592 citations · Full text
Asier Marzo, Bruce W. Drinkwater · Proceedings of the National Academy of Sciences · 2018 · 513 citations · Full text
Natural Sciences, Physics, Acoustics +14
Sampling, data transmission, and the Nyquist rate
H. J. Landau · Proceedings of the IEEE · 1967 · 493 citations
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University of Delaware
Newark, United States
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6 publications
199 citations

Centre National de la Recherche Scientifique
Paris, France
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18 publications
2.5K citations
University of California, Berkeley
Berkeley, United States
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244 citations

University of Minnesota
Minneapolis, United States
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395 citations
University of Southern California
Los Angeles, United States
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11 publications
1.3K citations
Tsinghua University
Beijing, China
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7 publications
223 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
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308 citations

Harbin Institute of Technology
Harbin, China
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343 citations
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