Selecting the optimal sampling rate for the waveform generator with a variable clock

2022 ◽  
pp. 103399
Author(s):  
Yindong Xiao ◽  
Wu Mo ◽  
Ke Liu ◽  
Wenhao Zhao ◽  
Cong Hu
Keyword(s):  
Sampling Rate ◽  
Optimal Sampling ◽  
Waveform Generator

scholarly journals A Sampling Rate Selecting Algorithm for the Arbitrary Waveform Generator

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 83761-83770
Author(s):  
Yindong Xiao ◽  
Yu Chen ◽  
Ke Liu ◽  
Lei Huang ◽  
Xing Yang
Keyword(s):  
Sampling Rate ◽  
Waveform Generator ◽  
Arbitrary Waveform Generator ◽  
Arbitrary Waveform

scholarly journals Improving Accuracy of Wind Analysis with Multiple Sampling Rates of Wind Measurement

2019 ◽  
Vol 95 ◽  
pp. 02002
Author(s):  
Natapol Korprasertsak ◽  
Thananchai Leephakpreeda
Keyword(s):  
Sampling Rate ◽  
Sampling Theorem ◽  
Wind Data ◽  
Optimal Sampling ◽  
Wind Measurement ◽  
Multiple Sampling ◽  
Wind Analysis ◽  
Data Problem ◽  
Improving Accuracy ◽  
Statistical Results

The sampling rate in wind measurement has influences on accuracy of wind analysis. Missing wind data problem can be prevented with high sampling rates. However, a lot of data are unnecessarily required in wind analysis. In this work, optimal sampling rates are determined in real time by the Nyquist sampling theorem according to varying wind conditions. It is found that all statistical results in wind analysis are obtained with percentage errors of less than 1% while the amount of wind data is decreased significantly from the benchmark at fixed sampling rate of 10 Hz.

scholarly journals Estimating the optimal sampling rate using wavelet transform: an application to optical turbulence

2013 ◽  
Vol 21 (13) ◽  
pp. 15230
Author(s):  
Gustavo Funes ◽  
Ángel Fernández ◽  
Darío G. Pérez ◽  
Luciano Zunino ◽  
Eduardo Serrano
Keyword(s):  
Wavelet Transform ◽  
Sampling Rate ◽  
Optimal Sampling ◽  
Optical Turbulence

scholarly journals Identifying an Optimal Sampling Method to Estimate Postural Risk in a Dynamic Work Task

2019 ◽  
Vol 63 (1) ◽  
pp. 1028-1033
Author(s):  
Kryztopher D. Tung ◽  
Yoko E. Fukumura ◽  
Nancy A. Baker ◽  
Jane L. Forrest ◽  
Shawn C. Roll
Keyword(s):  
Sampling Method ◽  
Sampling Methods ◽  
Assessment Tool ◽  
Sampling Rate ◽  
Weighted Average ◽  
Extended Period ◽  
Optimal Sampling ◽  
Work Task ◽  
Random Samples ◽  
Overall Risk

Introduction: The Rapid Upper Limb Assessment (RULA) is an ergonomic assessment tool used to screen for risk of musculoskeletal injury due to working posture. The RULA is traditionally applied once during a work task to approximate overall risk. No method exists for estimating a RULA score for work requiring frequent shifts in posture across an extended period of time. Purpose: The goal of this study was to identify an optimal sampling method for applying the RULA across a long time-period that accurately represents overall risk. Methods: Four right-handed female dental hygiene students were video recorded from three angles while performing hand scaling during patient clinic visits (88.97 minutes on average). RULA was continuously scored across the entire session, updating the score when a significant postural shift lasting for more than 15 seconds occurred. A time-weighted average (TWA) RULA score was calculated. Three sampling methods were evaluated: equivalent interval samples, random samples, and random samples selection weighted within “clock positions.” Each method was compared to the TWA using a paired samples t-test and percent difference. Results: TWA RULA across the four students ranged from 3.4 to 4.3. Preliminary sampling averages using 10 samples were all within 0.2 of the TWA. Further iterations evaluating various sample sizes is ongoing. Discussion: Preliminary results suggest that all three sampling methods provide a reasonably accurate approximation of the TWA score at the sampling rate tested. Future iterations of this analysis will be continued to identify the minimum required sampling rate to meet our TWA criterion.

Impact Analysis of Guidance Instrument Error Separation Accuracy on Sampling Rate of Inertial Navigation Equipment

2013 ◽  
Vol 341-342 ◽  
pp. 880-886
Author(s):  
Wen Jun Wang ◽  
Xiao Jun Duan ◽  
Ju Bo Zhu
Keyword(s):  
Impact Analysis ◽  
Sampling Rate ◽  
Inertial Navigation ◽  
Optimal Sampling ◽  
Data Sampling ◽  
Instrument Error ◽  
Error Separation ◽  
Data Sampling Rate ◽  
Simulation Results ◽  
Navigation Equipment

Based on the linear model of guidance instrument error separation, study on the separation accuracy affected by data sampling rate of inertial navigation equipment. First, theoretically proved that the higher data sampling rate is, the higher separation accuracy we can get. Second, a method for determining the optimal sampling rate is presented, whose idea is from the model itself. At last, the simulation results can verify the above two conclusions.

Sign in / Sign up

Export Citation Format

Share Document