 Signal-To-Noise Ratio
"Signal-To-Noise Ratio" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The comparison of the quantity of meaningful data to the irrelevant or incorrect data.
| Descriptor ID |
D059629
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| MeSH Number(s) |
E05.318.740.872.875 E05.318.780.800.875 G17.800.500 N05.715.360.750.725.750 N05.715.360.780.700.840 N06.850.520.445.800.875 N06.850.520.830.872.750
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| Concept/Terms |
Signal-To-Noise Ratio- Signal-To-Noise Ratio
- Ratio, Signal-To-Noise
- Ratios, Signal-To-Noise
- Signal To Noise Ratio
- Signal-To-Noise Ratios
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Below are MeSH descriptors whose meaning is more general than "Signal-To-Noise Ratio".
Below are MeSH descriptors whose meaning is more specific than "Signal-To-Noise Ratio".
This graph shows the total number of publications written about "Signal-To-Noise Ratio" by people in this website by year, and whether "Signal-To-Noise Ratio" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2011 | 0 | 1 | 1 | | 2012 | 0 | 2 | 2 | | 2013 | 0 | 2 | 2 | | 2014 | 1 | 2 | 3 | | 2015 | 0 | 4 | 4 | | 2016 | 0 | 7 | 7 | | 2017 | 0 | 7 | 7 | | 2018 | 0 | 5 | 5 | | 2019 | 2 | 5 | 7 | | 2020 | 0 | 3 | 3 | | 2021 | 0 | 1 | 1 |
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Below are the most recent publications written about "Signal-To-Noise Ratio" by people in Profiles.
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Kavran AJ, Clauset A. Denoising large-scale biological data using network filters. BMC Bioinformatics. 2021 Mar 25; 22(1):157.
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Arquilla K, Webb AK, Anderson AP. Woven electrocardiogram (ECG) electrodes for health monitoring in operational environments. Annu Int Conf IEEE Eng Med Biol Soc. 2020 07; 2020:4498-4501.
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Felix LB, Gonçalves MC, Zanotelli T, Miranda de Sá AMFL, Simpson DM. The global Beta test for hidden periodicities in signals and its extensions to multivariate systems. Comput Methods Programs Biomed. 2020 Oct; 195:105550.
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Harrold AP, Cleary MM, Bharathy N, Lathara M, Berlow NE, Foreman NK, Donson AM, Amani V, Zuercher WJ, Keller C. In vitro benchmarking of NF-?B inhibitors. Eur J Pharmacol. 2020 Apr 15; 873:172981.
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Altunbas C, Alexeev T, Miften M, Kavanagh B. Effect of grid geometry on the transmission properties of 2D grids for flat detectors in CBCT. Phys Med Biol. 2019 11 15; 64(22):225006.
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Habib A, Zhu X, Can UI, McLanahan ML, Zorlutuna P, Yanik AA. Electro-plasmonic nanoantenna: A nonfluorescent optical probe for ultrasensitive label-free detection of electrophysiological signals. Sci Adv. 2019 10; 5(10):eaav9786.
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Curtis SD, Ploense KL, Kurnik M, Ortega G, Parolo C, Kippin TE, Plaxco KW, Arroyo-Currás N. Open Source Software for the Real-Time Control, Processing, and Visualization of High-Volume Electrochemical Data. Anal Chem. 2019 10 01; 91(19):12321-12328.
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Donnenberg AD, Kanias T, Triulzi DJ, Dennis CJ, Meyer EM, Gladwin M. Improved quantitative detection of biotin-labeled red blood cells by flow cytometry. Transfusion. 2019 08; 59(8):2691-2698.
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Chesnaye MA, Bell SL, Harte JM, Simpson DM. The Convolutional Group Sequential Test: Reducing Test Time for Evoked Potentials. IEEE Trans Biomed Eng. 2020 03; 67(3):697-705.
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Tao S, Rajendran K, Zhou W, Fletcher JG, McCollough CH, Leng S. Improving iodine contrast to noise ratio using virtual monoenergetic imaging and prior-knowledge-aware iterative denoising (mono-PKAID). Phys Med Biol. 2019 05 16; 64(10):105014.
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