Results 221 to 230 of about 13,324 (245)
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Hybrid Method for Extend the Measured Average Time Range of Allan Deviation
2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI), 2021Peng Ye, Shuang Liao, Cheng Chen
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Practical Approaches to Allan Deviation Analysis of Low-Cost MEMS Inertial Sensors
2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL), 2023Tobias Hiller +2 more
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Cost-Effective Allan Deviation Measurement in SDRs Using Integrated ADC
2024 IEEE Radio and Wireless Symposium (RWS)Saeed Ur Rehman, Shengjian Jammy Chen
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Degrees of Freedom for Allan Deviation Estimates of Multiple Clocks
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2016The three-cornered-hat (TCH) technique is used frequently in the timing community to estimate the stability of single frequency standards (clocks) when the only measurement data available are paired differences. In previous work, we presented an analytic method to estimate the reduced degrees of freedom produced when using the TCH estimation technique.
Paul A, Koppang, Christopher R, Ekstrom
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TheoH and allan deviation as power-law noise estimators
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2007A spectral interpretation using the frequency sensitivity of the Allan variance (Avar) and Thêo-Hybrid (ThêoH) is used to determine falpha noise, or "power-law noise." ThêoH has narrower chi-square confidence than Avar; consequently, ThêoH provides significantly better determination of falpha noise types at long term.
Jennifer A, McGee, David A, Howe
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About the stochastic features during intracranial pressure transients – the Allan deviation
2021Objective: The Allan deviation (AD) has not been generally used as a tool to determine the statistical properties of intracranial pressure (ICP) up to now. This fact is remarkable because concordance to modern analytic methods applied to ICP (i.e., the wavelet variance) exists. AD becomes important [for full text, please go to the a.m. URL]
Heissler, HE +3 more
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Proceedings International Symposium on Parallel Architectures, Algorithms and Networks. I-SPAN 2000, 2000
Time and frequency characterization of precision clocks and oscillators is an important task in the maintenance of time and frequency standards. Recently, time domain signal characterization of clocks is generally preferred and several performance measures of clocks and oscillators are defined in ITU-T Recommendation G.810.
Mingfu Li, Hsin-Min Peng, Chia-Shu Liao
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Time and frequency characterization of precision clocks and oscillators is an important task in the maintenance of time and frequency standards. Recently, time domain signal characterization of clocks is generally preferred and several performance measures of clocks and oscillators are defined in ITU-T Recommendation G.810.
Mingfu Li, Hsin-Min Peng, Chia-Shu Liao
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Analysis of Sensors Noise Performance Using Allan Deviation
2019 IEEE XXVIII International Scientific Conference Electronics (ET), 2019The paper presents the noise analysis of different sensor types using Allan Variance (AV). Compared to the conventional variance that assesses the variation around the mean value of the aggregate data surveyed, AV estimates variations by averaging measurements for different periods.
Marin B. Marinov +3 more
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Allan Deviation Analysis of Low-Cost Temperature Sensors for Iot Applications
2024 15th National Conference with International Participation (ELECTRONICA)Borislav T Ganev +2 more
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Multi-Source Maximum Likelihood Modified Allan Deviation Estimation
2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF), 2020The familiar “tri-cornered hat” method is sometimes used to compute ensemble-relative ADEV values for each of three reference oscillators, superficially independent of any particular reference. When one of the three oscillators is distinctly more stable, the tri-cornered had algorithm tends to give a poor estimate – estimates of AVAR may be negative ...
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