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1

Gebauer, Bastian, Martin Hanke, and Christoph Schneider. "Sampling methods for low-frequency electromagnetic imaging." Inverse Problems 24, no. 1 (2007): 015007. http://dx.doi.org/10.1088/0266-5611/24/1/015007.

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2

Yu, Shiming, Gang Xiao, and Baoyuan Zhang. "PID Based Low Frequency Sampling GPC Algorithm." IFAC Proceedings Volumes 36, no. 24 (2003): 281–85. http://dx.doi.org/10.1016/s1474-6670(17)37643-7.

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3

Linggo, Sumarno, and Adi Kuntoro. "The influence of sampling frequency on tone recognition of musical instruments." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 1 (2019): 253–60. https://doi.org/10.12928/TELKOMNIKA.v17i1.11608.

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Sampling frequency of musical instruments tone recognition generally follows the Shannon sampling theorem. This paper explores the influence of sampling frequency that does not follow the Shannon sampling theorem, in the tone recognition system using segment averaging for feature extraction and template matching for classification. The musical instruments we used were bellyra, flute, and pianica, where each of them represented a musical instrument that had one, a few, and many significant local peaks in the Discrete Fourier Transform (DFT) domain. Based on our experiments, until the sampling f
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4

You, Y. H., J. B. Kim, and D. H. Kim. "Low-overhead Sampling Frequency Synchronization Scheme for UWB-OFDM." Journal of Electromagnetic Waves and Applications 22, no. 17-18 (2008): 2511–22. http://dx.doi.org/10.1163/156939308787543796.

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5

Huang, Hao, Li Guo, and Lin Li. "Audio Watermarking for MP3 Coding with Low Bitrate and Low Sampling Frequency." Journal of Electronics & Information Technology 30, no. 11 (2011): 2678–83. http://dx.doi.org/10.3724/sp.j.1146.2007.00666.

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6

Teh, Yi Jun, Bahari Jambek Asral, and Hashim Uda. "Performance analysis of low-complexity welch power spectral density for automatic frequency analyser." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 99–104. https://doi.org/10.11591/eei.v8i1.1393.

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The aim of this paper is to investigate the performance of the Low Complexity Welch Power Spectral Density Computation (PSDC). This algorithm is an improvement from Welch PSDC method to reduce the computational complexity of the method. The effect of the sampling rate and the input frequency toward to accuracy of frequency detection is being evaluated. From the experiment results, sampling rate nearest to the twice of the input frequency provides the highest accuracy which achieved 99%. The ability of the algorithm to perform complex signal also has been investigated.
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7

Romeu, Bianca, Alexandre M. S. Machado, Fábio G. Daura-Jorge, Marta J. Cremer, Ana Kássia de Moraes Alves, and Paulo C. Simões-Lopes. "Low-frequency sampling rates are effective to record bottlenose dolphins." Royal Society Open Science 8, no. 7 (2021): 201598. http://dx.doi.org/10.1098/rsos.201598.

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Acoustic monitoring in cetacean studies is an effective but expensive approach. This is partly because of the high sampling rate required by acoustic devices when recording high-frequency echolocation clicks. However, the proportion of echolocation clicks recorded at different frequencies is unknown for many species, including bottlenose dolphins. Here, we investigated the echolocation clicks of two subspecies of bottlenose dolphins in the western South Atlantic Ocean. The possibility of recording echolocation clicks at 24 and 48 kHz was assessed by two approaches. First, we considered the cli
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8

Skou, E. "An inexpensive low frequency impedance analyzer based on direct sampling." Electrochimica Acta 38, no. 14 (1993): 2079–82. http://dx.doi.org/10.1016/0013-4686(93)80343-x.

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9

Ikuma, IKEDA, and IWATSUKI Nobuyuki. "Narrow Band Noise Control with Low Sampling Frequency Using Heterodyne." Proceedings of the Dynamics & Design Conference 2019 (2019): 315. http://dx.doi.org/10.1299/jsmedmc.2019.315.

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10

Quinsac, Céline, Adrian Basarab, and Denis Kouamé. "Frequency Domain Compressive Sampling for Ultrasound Imaging." Advances in Acoustics and Vibration 2012 (May 30, 2012): 1–16. http://dx.doi.org/10.1155/2012/231317.

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Compressed sensing or compressive sampling is a recent theory that originated in the applied mathematics field. It suggests a robust way to sample signals or images below the classic Shannon-Nyquist theorem limit. This technique has led to many applications, and has especially been successfully used in diverse medical imaging modalities such as magnetic resonance imaging, computed tomography, or photoacoustics. This paper first revisits the compressive sampling theory and then proposes several strategies to perform compressive sampling in the context of ultrasound imaging. Finally, we show enc
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11

M., Arshad Shehzad Hassan Guobing Song Xiaoning Kang Zaibin Jiao Chenqing Wang Sohaib Tahir. "Current Differential Protection for Distributed Transmission Lines using Low Sampling Frequency." International Journal of Engineering Works 2, no. 3 (2015): 42–47. https://doi.org/10.5281/zenodo.16431.

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Current differential protection has been affected negatively by the distributed capacitive current of transmission lines. In order to solve the problem of distributed capacitance current of transmission line, the current differential protection in this paper is based on distributed parameters model of the transmission line. The current formula along with the transmission line is derived under this distributed parameter line model. The differential criterion is constructed with the current calculated from both ends to the set point. In order to improve the practicality of the criterion, the imp
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12

Lee, Kar Fye Alvin, Elliot Chan, Josip Car, Woon-Seng Gan, and Georgios Christopoulos. "Lowering the Sampling Rate: Heart Rate Response during Cognitive Fatigue." Biosensors 12, no. 5 (2022): 315. http://dx.doi.org/10.3390/bios12050315.

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Cognitive fatigue is a mental state characterised by feelings of tiredness and impaired cognitive functioning due to sustained cognitive demands. Frequency-domain heart rate variability (HRV) features have been found to vary as a function of cognitive fatigue. However, it has yet to be determined whether HRV features derived from electrocardiogram data with a low sampling rate would remain sensitive to cognitive fatigue. Bridging this research gap is important as it has substantial implications for designing more energy-efficient and less memory-hungry wearables to monitor cognitive fatigue. T
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13

Wang, Zhonghan, Yaoliang Song, and Yitong Li. "Ultra-Wideband Imaging via Frequency Diverse Array with Low Sampling Rate." Remote Sensing 14, no. 5 (2022): 1271. http://dx.doi.org/10.3390/rs14051271.

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Imaging systems based on millimeter waves (mm-waves) are advancing to achieve higher resolution and wider bandwidth. However, a large bandwidth requires high sample rates, which may limit the development of ultra-wideband imaging systems. In this letter, we introduce the concept of frequency diverse array (FDA) into mm-wave imaging systems. In particular, we propose an ultra-wideband imaging method based on the FDA configuration to reduce sampling rates. In the proposed method, the required sampling rate of an imaging system with N transmit elements is only one-Nth of the conventional systems.
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14

Wang, Zuo-Cai, Yu Xin, Jin-feng Xing, and Wei-Xin Ren. "Hilbert low-pass filter of non-stationary time sequence using analytical mode decomposition." Journal of Vibration and Control 23, no. 15 (2015): 2444–69. http://dx.doi.org/10.1177/1077546315617408.

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In this paper, the recently developed analytical mode decomposition with a constant or time-varying cutoff frequency is extended into the decomposition of a non-stationary discrete time sequence. The discretization of the signal and the selection of the cutoff frequency may cause the failure of low frequency component extraction. In this study, to eliminate the effects of the signal discretization, the one-step, two-step, and four-step low-pass filters with cutoff frequencies are proposed. Based on the theoretical derivation, the previous one-step low-pass filter is effective only when the cut
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15

Yu, Bai, and Zhixin Zhang. "Adaptive Configuration Method of Low-Frequency Electromechanical Sampling Information in Building Electrical System." Mathematical Problems in Engineering 2021 (May 20, 2021): 1–8. http://dx.doi.org/10.1155/2021/6624330.

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In order to enhance the reliability of the electrical systems in low frequency, an adaptive configuration method of low-frequency electromechanical sampling information based on thyristor controlled series compensation (TCSC) is designed. The electrical system is simplified to a linear invariant system, and a stochastic subspace identification (SSI) method is established by using the singular value decomposition principle to collect low-frequency electromechanical sampling information. The reference channel technology is introduced to design the reference channel covariance matrix to judge whe
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16

Shim, Eu-Suk, and Young-Hwan You. "Low-overhead sampling clock frequency synchronization for OFDM-based DRM systems." IEICE Electronics Express 7, no. 1 (2010): 1–6. http://dx.doi.org/10.1587/elex.7.1.

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17

Ferrero, A., and R. Ottoboni. "A low-cost frequency multiplier for synchronous sampling of periodic signals." IEEE Transactions on Instrumentation and Measurement 41, no. 2 (1992): 203–7. http://dx.doi.org/10.1109/19.137348.

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18

Gregg, Richard E., Reza Firoozabadi, and Saeed Babaeizadeh. "Reducing the impact of low sampling frequency on heart rate variability." Journal of Electrocardiology 57 (November 2019): S113. http://dx.doi.org/10.1016/j.jelectrocard.2019.11.011.

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19

Cai, Xinyu, and Lan Dai. "A digital LDO with adaptive sampling frequency and asynchronous loop." Journal of Physics: Conference Series 2810, no. 1 (2024): 012030. http://dx.doi.org/10.1088/1742-6596/2810/1/012030.

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Abstract The development of semiconductor processes has led to a decrease in the operating voltage of transistors. Digital low dropout linear regulators (DLDO) have been proposed to address this low-voltage operating environment. However, DLDOs with conventional structures need help meeting the requirements of fast response and low power consumption simultaneously. This paper proposes a DLDO based on coarse-fine dual loop regulation with asynchronous loop regulation and adaptive clock frequency. The scheme enhances transient response speed and reduces system power consumption in a steady state
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20

Lu, Chunguang, Xiong Li, Wei Liu, and Huan Zhu. "Energy Measurement Technology of Low-frequency 20 Hz Intelligent Energy Meter." Journal of Physics: Conference Series 2584, no. 1 (2023): 012013. http://dx.doi.org/10.1088/1742-6596/2584/1/012013.

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Abstract A high-speed and high-precision voltage and current acquisition scheme suitable for 20 Hz low-frequency energy metering, and an energy meter suitable for low-frequency transmission scenarios was designed in this paper. A high-precision energy metering algorithm based on low-frequency metering for three-phase energy meters, using the four-term third-order Nuttall window algorithm to address the impact of asynchronous sampling on metering was proposed in this paper. Equipped with sampling and metering algorithms suitable for low-frequency transmission, the designed meter achieves seamle
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21

Jiang Yu-Qiang, Guo Hong-Lian, Liu Chun-Xiang, et al. "Trapping stiffness measurement with brownian motion analysis method at low sampling frequency." Acta Physica Sinica 53, no. 6 (2004): 1721. http://dx.doi.org/10.7498/aps.53.1721.

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22

Worapishet, A., J. B. Hughes, and C. Toumazou. "Low-power high-frequency class-AB two-step sampling switched-current techniques." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 50, no. 9 (2003): 649–53. http://dx.doi.org/10.1109/tcsii.2003.816931.

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23

You, Y. H., and J. B. Kim. "Improved and low-complexity sampling frequency offset estimation scheme for DRM systems." AEU - International Journal of Electronics and Communications 65, no. 5 (2011): 489–92. http://dx.doi.org/10.1016/j.aeue.2010.06.003.

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24

Sidek, Khairul Azami, and Ibrahim Khalil. "Enhancement of low sampling frequency recordings for ECG biometric matching using interpolation." Computer Methods and Programs in Biomedicine 109, no. 1 (2013): 13–25. http://dx.doi.org/10.1016/j.cmpb.2012.08.015.

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25

Costa, F. B., J. R. Lima, M. A. Aziz Jahan, F. V. Lopes, K. M. Silva, and K. M. C. Dantas. "Low-sampling frequency two-terminal traveling wave-based overhead transmission line protection." Electric Power Systems Research 224 (November 2023): 109639. http://dx.doi.org/10.1016/j.epsr.2023.109639.

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26

Jiang, Kuangyi, Kai Zhou, Xiang Ren, and Yefei Xu. "Frequency Domain Sampling Optimization of Cable Defect Detection and Location Method Based on Exponentially Increased Frequency Reflection Coefficient Spectrum." Energies 18, no. 10 (2025): 2428. https://doi.org/10.3390/en18102428.

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The existing linear frequency increment cable defect detection method using frequency domain reflectometry suffers from severe pseudo-peak phenomena due to non-targeted frequency domain sampling, which interferes with diagnosis. To address this issue, this paper proposes an optimized frequency domain sampling method based on the exponential frequency increment reflection coefficient spectrum. This method optimizes the distribution of frequency domain sampling points, reducing the sampling of high-frequency noise signals, thereby effectively suppressing pseudo-peaks. Research indicates that the
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27

Cheng, Y., and K. B. He. "Measurement of carbonaceous aerosol with different sampling configurations and frequencies." Atmospheric Measurement Techniques Discussions 8, no. 3 (2015): 3171–98. http://dx.doi.org/10.5194/amtd-8-3171-2015.

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Abstract. Carbonaceous aerosol in Beijing, China was measured with different sampling configurations (denuded vs. un-denuded) and frequencies (24 vs. 48 h averaged). Our results suggest that the negative sampling artifact of a bare quartz filter could be remarkably enhanced due to the uptake of water vapor by the filter medium, indicating that the positive sampling artifact tends to be underestimated under high humidity conditions. It was also observed that the analytical artifact (i.e., the underestimation of elemental carbon by the operationally defined value of the thermal-optical method) w
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28

Yu, Bing, David Gabriel, Larry Noble, and Kai-Nan An. "Estimate of the Optimum Cutoff Frequency for the Butterworth Low-Pass Digital Filter." Journal of Applied Biomechanics 15, no. 3 (1999): 318–29. http://dx.doi.org/10.1123/jab.15.3.318.

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The purposes of this study were (a) to develop a procedure for objectively determining the optimum cutoff frequency for the Butterworth low-pass digital filler, and (b) to evaluate the cutoff frequencies derived from the residual analysis. A set of knee flexion-extension angle data in normal gait was used as the standard data set. The standard data were sampled at different sampling frequencies. Random errors with different magnitudes were added to the standard data to create different sets of raw data with a given sampling frequency. Each raw data set was filtered through a Butterworth low-pa
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29

Xue, Zhao, Lin Li, Xiaolu Wang, and Xin Wang. "A Sensorless Control Strategy for Permanent Magnet Synchronous Motor at Low Switching Frequency." Electronics 11, no. 13 (2022): 1957. http://dx.doi.org/10.3390/electronics11131957.

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The high-frequency (HF) square-wave voltage injection method can be used in permanent magnet synchronous motor (PMSM) drive systems. However, when the switching frequency is too low, the injection frequency will also decrease, which will reduce the update frequency of the HF response current, making it difficult to extract the position quadrature signal and affecting the accuracy of position estimation and control performance. This paper proposes a method for extracting position quadrature signals based on sampling rate transformation, and a signal processing strategy based on Cascade Integrat
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30

She, Yunfeng, Xiaoxiao Huo, Xiaoshan Tong, Chunjie Wang, and Kunkun Fu. "Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter." Electronics 12, no. 13 (2023): 2848. http://dx.doi.org/10.3390/electronics12132848.

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With the development of power switches and processor performance in recent years, the control frequency of inverters has been significantly improved. However, limited by technology and price, the sensor sampling frequency in large-scale industrial applications is much lower than the inverter control frequency that can be realized. This frequency mismatch limits the performance improvement of the inverter. In this article, the current and voltage at the non-sampling time are reconstructed using the current prediction control principle and the input observer theory, allowing a single-phase inver
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31

Xiao, Xin, Yu Can, and Zhuochen Wang. "An integrated dual-frequency IVUS system with interleaved sampling and parallel signal processing based on FPGA." Journal of Physics: Conference Series 2822, no. 1 (2024): 012031. http://dx.doi.org/10.1088/1742-6596/2822/1/012031.

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Abstract Due to the lack of high voltage and low frequency pulse transmission channels, commercial high frequency IVUS imaging system cannot meet the hardware requirements of ultrasound angiography. Therefore, it is of great research significance to develop a dual-frequency IVUS rotary imaging system with high integration, high sampling rate and sampling accuracy. In this work, an integrated dual-frequency IVUS system with interleaved sampling and parallel signal processing based on FPGA was developed. The central frequency of low-frequency channel is up to 10MHz, and the peak voltage range is
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32

Gupta, A., S. Yandamuri, and S. M. Kuo. "Digital Implementation of Active Vibration Control of a Structure." Journal of Low Frequency Noise, Vibration and Active Control 26, no. 2 (2007): 135–41. http://dx.doi.org/10.1260/026309207781894879.

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An adaptive feedback algorithm is designed and implemented on a digital signal processor (DSP) system for the active vibration control (AVC) of a small structure. Real time experimental results show that the convergence speed and stability of the system are related to the exciting frequency, filter order, and the sampling frequency. The theoretical upper bound of the sampling frequency for a particular exciting frequency and filter order is compared with experiment, which is very important for designing practical digital AVC applications that control low-frequency vibration using low-cost data
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33

Zhang, Xiao, and Jia Liu. "Position sensorless control of PMSM under low-frequency ratio." Journal of Physics: Conference Series 3000, no. 1 (2025): 012053. https://doi.org/10.1088/1742-6596/3000/1/012053.

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Abstract In conventional approaches to sensorless PMSM control, Luenberger observer designs are commonly developed and evaluated within the continuous-time domain, with subsequent discretization typically implemented through the first-order forward Euler approximation method. However, when the ratio of the switching frequency to the motor operating frequency is relatively low, traditional observer design methods face issues where current estimation errors fail to converge rapidly or even become unstable. To address the inaccuracies of the Euler discretization method, this paper first establish
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34

Nuss, Benjamin, Jonathan Mayer, Soren Marahrens, and Thomas Zwick. "Frequency Comb OFDM Radar System With High Range Resolution and Low Sampling Rate." IEEE Transactions on Microwave Theory and Techniques 68, no. 9 (2020): 3861–71. http://dx.doi.org/10.1109/tmtt.2020.2988254.

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35

Wierts, R., R. Wierts, R. Wierts, et al. "Measuring Saccade Peak Velocity Using a Low-Frequency Sampling Rate of 50 Hz." IEEE Transactions on Biomedical Engineering 55, no. 12 (2008): 2840–42. http://dx.doi.org/10.1109/tbme.2008.925290.

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36

Xu, Wei, and Robert D. Lorenz. "Low-Sampling-Frequency Stator Flux Linkage Observer for Interior Permanent-Magnet Synchronous Machines." IEEE Transactions on Industry Applications 51, no. 5 (2015): 3932–42. http://dx.doi.org/10.1109/tia.2015.2439641.

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37

Calvagno, G., and L. Vangelista. "On the realization of minimum noise and low noise frequency sampling FIR filters." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 41, no. 4 (1994): 313–17. http://dx.doi.org/10.1109/82.285708.

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38

Mir, Hasan Saeed, and Uae Kainam Thomas Wong. "Low-rate sampling technique for range-windowed radar/sonar using nonlinear frequency modulation." IEEE Transactions on Aerospace and Electronic Systems 51, no. 3 (2015): 1972–79. http://dx.doi.org/10.1109/taes.2015.130237.

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39

Jingmei, Zhao, Liu Yuan'an, Yu Cuiping, and Yu Jianguo. "Low sampling rate technique based frequency-domain random demodulation for broadband digital predistortion." Journal of China Universities of Posts and Telecommunications 23, no. 6 (2016): 47–52. http://dx.doi.org/10.1016/s1005-8885(16)60069-9.

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40

Lan, Rong, Xin Hu, Gang Wang, Jirun Luo, Yi Yang, and Jingyan Song. "Theory and experiments of a low sampling frequency broadband digital predistortion with cyclostationarity." International Journal of Satellite Communications and Networking 38, no. 6 (2020): 575–86. http://dx.doi.org/10.1002/sat.1368.

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41

Lyu, Weiqiang, Zhengkai Li, Lingjie Zhang, et al. "Broadband Signal Digitization Based on Low-Speed Non-Uniform Photonic Sampling." Photonics 9, no. 11 (2022): 831. http://dx.doi.org/10.3390/photonics9110831.

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A new non-uniform photonic sampling (NPS) strategy and its special signal reconstruction algorithm are proposed to achieve digital acquisition of broadband periodic signals at a low sampling rate. Compared with the existing schemes, the NPS strategy can largely reduce the sampling number to acquire identical signal information as that obtained by using its equivalent high-speed uniform photonic sampling, which is beneficial for reducing the sampling time and the data volume of the NPS-based analog-to-digital converter (ADC). In addition, the calculation time of the proposed algorithm is millio
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42

Tankeliun, Tomaš. "RESEARCH OF RELATION OF SAMPLERS FREQUENCY CHARACTERISTICS." Mokslas - Lietuvos ateitis 13 (August 19, 2021): 1–5. http://dx.doi.org/10.3846/mla.2021.15215.

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The approach to reduce the amplitude noise of a vertical channel of the sampling oscilloscope is presented in this paper. In general, the vertical channel of the sampling oscilloscope consists of a high-frequency sampling circuit and a relatively low-frequency sample transmission path along with a high bit resolution analogto-digital converter. The paper presents a method to improve the sensitivity of the vertical channel of a stroboscopic oscilloscope by extending the conventional channel architecture. The main vertical channel unit of the oscilloscope is a sampling device (sampler), which ma
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43

Amidror, Isaac. "Sub-Nyquist artefacts and sampling moiré effects." Royal Society Open Science 2, no. 3 (2015): 140550. http://dx.doi.org/10.1098/rsos.140550.

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Sampling moiré effects are well known in signal processing. They occur when a continuous periodic signal g ( x ) is sampled using a sampling frequency f s that does not respect the Nyquist condition, and the signal-frequency f folds over and gives a new, false low frequency in the sampled signal. However, some visible beating artefacts may also occur in the sampled signal when g ( x ) is sampled using a sampling frequency f s which fully respects the Nyquist condition. We call these phenomena sub-Nyquist artefacts . Although these beating effects have already been reported in the literature, t
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44

Tang, Yongzhuang, Qidou Zhou, Zhiyong Xie, Wenxi Liu, and Xiaojun Lü. "Research on Acquisition Performance of FFT Algorithm for Low-Frequency Spread-Spectrum Signals Using Acoustic Sensors." Sustainability 15, no. 8 (2023): 6405. http://dx.doi.org/10.3390/su15086405.

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An essential precondition for the effective use of low-frequency spread-spectrum acoustic signals is their synchronous acquisition. Due to the low bit rate that low-frequency spread-spectrum signals have, the length of the spreading spectrum code and the number of intra-chip carriers need to be precisely designed to balance the acquisition performance and the bit rate in low-frequency spread-spectrum signals. Furthermore, the selection of the acquisition method and sampling frequency depends on the specific application and system requirements, which will directly affect the processing speed an
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45

Cui, An-Jing, Dao-Jing Li, Jiang Wu, Kai Zhou, and Jing-Han Gao. "Sparse sampling in frequency domain and laser imaging." Acta Physica Sinica 71, no. 5 (2022): 058705. http://dx.doi.org/10.7498/aps.71.20211408.

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The monochromaticity of the laser and the characteristics of the natural image’s spectrum, including sparsity and concentrating in the low frequency range, make it possible to sample the image spectrum sparsely. Based on small-scale laser detectors and the introduced laser reference signals, a method of laser imaging with sparse sampling in frequency domain is proposed in this paper. The principle of frequency sparse sampling laser imaging and the imaging system structure are introduced. The simulation results of spectrum and complex images reconstructed are given. Both the effects of the sign
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46

Jun, Teh Yi, Asral Bahari Jambek, and Uda Hashim. "Performance analysis of low-complexity welch power spectral density for automatic frequency analyser." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 99–104. http://dx.doi.org/10.11591/eei.v8i1.1393.

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The aim of this paper is to investigate the performance of the Low Complexity Welch Power Spectral Density Computation (PSDC). This algorithm is an improvement from Welch PSDC method to reduce the computational complexity of the method. The effect of the sampling rate and the input frequency toward to accuracy of frequency detection is being evaluated. From the experiment results, sampling rate nearest to the twice of the input frequency provides the highest accuracy which achieved 99%. The ability of the algorithm to perform complex signal also has been investigated.
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47

Qi, Xin, Lin Wu, Xiaomin Zhou, and Xianghua Ma. "Field oriented predictive control strategy for induction machine drives." Assembly Automation 37, no. 1 (2017): 103–13. http://dx.doi.org/10.1108/aa-10-2016-132.

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Purpose This study aims to drive the induction machine system with a low switching frequency. Design/methodology/approach An unconventional inverter control strategy – field-oriented predictive control (FOPC) – is presented. The strategy limits current distortion by setting a boundary circle. The voltage vector, which could keep current trajectories in boundary, is selected to obtain a low switching frequency. Findings A dual simulation step technique is developed to investigate the influence of sampling frequency on current distortion control and switching frequency. Current control distortio
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48

Luo, Qing, Bao He Yang, and Dong Mei Li. "The Random Sampling Method for Gas Sensing Signal Based on Compressed Sensing." Applied Mechanics and Materials 496-500 (January 2014): 1739–43. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1739.

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This paper presents a random sampling method for gas signal,which is based on the principle called compressed sensing. This method is suitable for gas sensor network, and it is conducive to the realization of low power, low cost of the gas sensor network. According to the characteristics of the output signal of gas sensor, we design the random sampling method which acquire the useful information in signal. Using compressed sensing recovery algorithm to reconstruct signal,we finally fulfill complete signal collection. The simulation results show that the method we proposed can achieve signal ac
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Dos’Santos, Thomas, Paul A. Jones, Jonathan Kelly, John J. McMahon, Paul Comfort, and Christopher Thomas. "Effect of Sampling Frequency on Isometric Midthigh-Pull Kinetics." International Journal of Sports Physiology and Performance 11, no. 2 (2016): 255–60. http://dx.doi.org/10.1123/ijspp.2015-0222.

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Abstract:
Purpose:Skeletal-muscle function can be evaluated using force–times curves generated via the isometric midthigh pull (IMTP). Various sampling frequencies (500–1000 Hz) have been used for IMTP assessments; however, no research has investigated the influence of sampling frequency on IMTP kinetics. Therefore, the purpose of this study was to investigate the influence of sampling frequency on kinetic variables during the IMTP, including peak force, time-specific force values (100, 150, and 200 ms), and rate of force development (RFD) at 3 time bands (0–100, 0–150, 0–200 ms).Methods:Academy rugby l
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50

Liu, Dong, Baojin Li, Songtao Huang, Linguo Liu, Haozhe Wang, and Yukai Huang. "An Improved Frequency-Adaptive Virtual Variable Sampling-Based Repetitive Control for an Active Power Filter." Energies 15, no. 19 (2022): 7227. http://dx.doi.org/10.3390/en15197227.

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Abstract:
To eliminate the harmonics caused by nonlinear loads, repetitive controllers are widely applied as current controllers for active power filters (APF). In practice, a variation in grid frequency leads to the appearance of a fractional-order delay filter. As a result, the resonant frequency of the repetitive controller will deviate from the fundamental frequency and the controller cannot compensate for harmonics accurately. To solve this problem, an improved frequency-adaptive repetitive controller based on virtual variable sampling (IMFA-VVS-RC) for APF is proposed in this paper. To enhance the
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