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About 10,000 papers for “waveform simulation”
Heng Zhang · Zenodo (CERN European Organization for Nuclear Research) · 2025
This is the simulation waveform from the manuscript "Direct frequency-domain control of transmitter waveforms for controlled-source electromagnetic surveys".
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Heng Zhang · Zenodo (CERN European Organization for Nuclear Research) · 2025
This is the simulation waveform from the manuscript "Direct frequency-domain control of transmitter waveforms for controlled-source electromagnetic surveys".
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Adam Menkara (12536507), Ahmad Faryami (12536504), Daniel Viar (12536510) et al. · Figshare · 2022
<p>Visual representation of simulation using reciprocating pump of one-second flow waveform patterns of retinal blood flow in a healthy, diabetic, and glaucoma patient scenarios generated from a computational framework.</p>
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Zhang · Zenodo (CERN European Organization for Nuclear Research) · 2026
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Zhang · Zenodo (CERN European Organization for Nuclear Research) · 2026
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Yanjun Xiao (1993411), Shuhan Deng (5591282), Weiling Liu (1465480) et al. · Figshare · 2022
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M. S. Islam · SUST Journal of Science and Technology (SUST JST) · 2021
Dirac&#039;s equation deals with the electromagnetic interactions in quantum mechanics. This equation can be modified for the classical modulated waveform. This paper presents a simulation approach for generating electromagnetic wave packets from the modified Dirac&#039;s electromagnetic equation solution. From this solution, an equivalent numerical circuit using SIMULINK is designed. This numerical circuit generates an exact amplitude modulated waveform of the solution. An analog circuit of the equation using op-amp is also designed with SIMULINK. The circuit generates an amplitude modulated waveform. The carrier frequency generated from this simulation is 9 KHz. Finally, a comparative analysis of the numerical and simulated waveform is also discussed briefly in this paper. The simulated result supports the theoretical assumption about the wave generation from modified Dirac&#039;s equation.
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Jiafu 家富 Li 李, Abdusalam 杜萨拉姆 Abdukerim 阿卜, Zihao 子豪 Bo 薄 et al. · Chinese Physics C · 2024
Abstract Signal reconstruction through software processing is a crucial component of the background and signal models in the PandaX-4T experiment, which is a multi-tonne dark matter direct search experiment. The accuracy of signal reconstruction is influenced by various detector artifacts, including noise, dark count of photomultiplier, photoionization of impurities in the detector, and other relevant considerations. In this study, we presented a detailed description of a semi-data-driven approach designed to simulate a signal waveform. This work provides a reliable model for the efficiency and bias of the signal reconstruction in the data analysis of PandaX-4T. By comparing critical variables that relate to the temporal shape and hit pattern of the signals, we found good agreement between the simulation and data.
Cited by 7Open access
Pooja Mohindru, Pankaj Mohindru · 2021
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Yongqin Zhou (14526576), Chongchong Wang (2743369), Yongchao Wang (128812) et al. · Figshare · 2023
<p>(a) Probability change waveform of each model (b) Current residual waveform of each.</p>
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Robert Porritt · 2024
The generation of synthetic seismograms through simulation is a fundamental tool of seismology required to run quantitative hypothesis tests.A variety of approaches have been developed throughout the seismological community and each has their own specific user interface based on their implementation.This causes a challenge to researchers who will need to learn new interfaces with each new software they wish to use and create substantial challenges when attempting to compare results from different tools.Here we provide a unified interface that facilitates interoperability amongst several simulation tools through a modern containerized Python package.Further, this package includes post-processing analysis modules designed to facilitate end-to-end analysis of synthetic seismograms.In this report we present the conceptual guidance and an example implementation of the new Waveform Simulation Framework.
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Yongqin Zhou (14526576), Chongchong Wang (2743369), Yongchao Wang (128812) et al. · Figshare · 2023
<p>(a) Probability change waveform of each model (b) Current residual waveform of each.</p>
Cited by 0Open access
Jintao Meng (9455366), Haitao Gao (594475), Mixue Ruan (17479036) et al. · Figshare · 2023
<div><p>As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating process. Based on this situation, some domestic scholars have adopted fuzzy PID control algorithm in the temperature control of vacuum annealing furnaces. Due to the fact that fuzzy rules are formulated through a large amount of on-site temperature data and experience summary, there is a certain degree of subjectivity, which cannot ensure that each rule is optimal. In response to this drawback, the author combined the technical parameters of vacuum annealing furnace equipment, The fuzzy PID temperature control of the vacuum annealing furnace is optimized using genetic algorithm. Through simulation and comparative analysis, it is concluded that the design of the fuzzy PID vacuum annealing furnace temperature control system based on GA optimization is superior to fuzzy PID and traditional PID control in terms of temperature accuracy, rise time, and overshoot control. Finally, it was verified through offline experiments that the fuzzy PID temperature control system based on GA optimization meets the annealing temperature requirements of metal workpieces and can be applied to the temperature control system of vacuum annealing furnaces.</p></div>
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Felix J. Herrmann, Yogi A. Erlangga, Tim Lin · Geophysics · 2009
Abstract The fact that the computational complexity of wavefield simulation is proportional to the size of the discretized model and acquisition geometry and not to the complexity of the simulated wavefield is a major impediment within seismic imaging. By turning simulation into a compressive sensing problem, where simulated data are recovered from a relatively small number of independent simultaneous sources, we remove this impediment by showing that compressively sampling a simulation is equivalent to compressively sampling the sources, followed by solving a reduced system. As in compressive sensing, this reduces sampling rate and hence simulation costs. We demonstrate this principle for the time-harmonic Helmholtz solver. The solution is computed by inverting the reduced system, followed by recovering the full wavefield with a program that promotes sparsity. Depending on the wavefield's sparsity, this approach can lead to significant cost reductions, particularly when combined with the implicit preconditioned Helmholtz solver, which is known to converge even for decreasing mesh sizes and increasing angular frequencies. These properties make our scheme a viable alternative to explicit time-domain finite differences.
Cited by 109
Jie Wu (10038), Shiyi Yin (14241808), Chuanjiang Li (4731213) et al. · Figshare · 2022
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Jun Li (6494), Wan Chen (592174), Xiaoqiong Zhu (1824406) et al. · Figshare · 2024
<div><p>This study presents an innovative dual closed-loop DC control system for intelligent electric vehicle (EV) charging infrastructure, designed to address the challenges of high power factor, low harmonic pollution, and high efficiency in EV charging applications. The research implements a three-level Pulse Width Modulation (PWM) rectifier with a diode-clamped topology and Insulated-Gate Bipolar Transistors (IGBTs), achieving a power factor of 0.99, a total harmonic distortion (THD) of 1.12%, and an efficiency of 95% through rigorous simulation. These results surpass those of wireless charging technology and bidirectional DC–DC converters, demonstrating the system’s superiority in key performance metrics. The dual closed-loop strategy, integrating a current inner loop and a voltage outer loop, ensures rapid response and high steady-state accuracy, with the PI regulator effectively managing phase coupling for balanced power flow. The voltage outer loop’s stability is critical for the system’s reliable operation. The study also discusses the challenges in the dynamic variation of midpoint source current and proposes future work to increase the system’s switching frequency, improve anti-interference capabilities, and enhance the accuracy of the sampling process. Advanced computational intelligence and optimization techniques are highlighted as essential for tackling the complex challenges of modern EV charging systems. The study contributes to the development of efficient, secure technology for the next generation of wireless networks and power systems, providing a robust empirical basis for the proposed control strategies through MATLAB/Simulink simulations. This research sets a solid foundation for the performance assessment of EV charging systems, offering high-performance, environmentally friendly, and economically viable solutions for sustainable transportation.</p></div>
Cited by 0Open access
Jintao Meng (9455366), Haitao Gao (594475), Mixue Ruan (17479036) et al. · Figshare · 2023
<div><p>As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating process. Based on this situation, some domestic scholars have adopted fuzzy PID control algorithm in the temperature control of vacuum annealing furnaces. Due to the fact that fuzzy rules are formulated through a large amount of on-site temperature data and experience summary, there is a certain degree of subjectivity, which cannot ensure that each rule is optimal. In response to this drawback, the author combined the technical parameters of vacuum annealing furnace equipment, The fuzzy PID temperature control of the vacuum annealing furnace is optimized using genetic algorithm. Through simulation and comparative analysis, it is concluded that the design of the fuzzy PID vacuum annealing furnace temperature control system based on GA optimization is superior to fuzzy PID and traditional PID control in terms of temperature accuracy, rise time, and overshoot control. Finally, it was verified through offline experiments that the fuzzy PID temperature control system based on GA optimization meets the annealing temperature requirements of metal workpieces and can be applied to the temperature control system of vacuum annealing furnaces.</p></div>
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Donald V. Helmberger, Jeroen Tromp, Arthur Rodgers · University of North Texas Digital Library (University of North Texas) · 2007
This one page report is about Advanced Waveform Simulation for Seismic Monitoring Events.
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Donald V. Helmberger, Jeroen Tromp, Arthur Rodgers · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2009
High-Resolution Source Parameters using Calibration from Ambient Seismic Noise (ASN) Zhongwen Zhan, Shengji Wei, Sidao Ni, and Don V. Helmberger Abstract Several new methods have been developed to retrieve local Green's functions based on the cross-correlation of ambient seismic noise (station-to-station) and conventional (source-to-station) inversions. The latter methods provide the most broadband results but require accurate source parameters for phase-delay recovery which depends on the starting model. Considerable progress is being made in providing such information from 3D modeling, Tape et al. (2008), using Adjoint Tomography. But to match waveforms for the recent Chino Hills event still requires shifting synthetics to align on data. This means that it is difficult to use 3D simulations to refine source locations in near-real time. We can avoid the 3D problems by applying the CAP method and storing shifts from past events, Tan (2006), and/or using ASN, Shapiro et al. (2005), to predict lags for surface waves. Here, we directly compare results from CAP predictions with ASN results using stations near the Chino Hills event. We use the same SC seismic model as used in the Library of Earthquakes to generate Green's functions for noise (single force) for comparison with ASN correlations and allow Cap delays. We apply these delays or corrections to determine precise Centroid locations.
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Yi Lv, Xiaohua Tong, S. J. Liu et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2016
Abstract. Change of globe surface height is an important factor to study human living environment. The Geoscience Laser Altimeter System (GLAS) on ICESat is the first laser-ranging instrument for continuous global observations of the Earth. In order to have a comprehensive understanding of full-waveform laser altimeter, this study simulated the operating mode of ICESat and modeled different terrains’ (platform terrain, slope terrain, and artificial terrain) echo waveforms based on the radar equation. By changing the characteristics of the system and the targets, numerical echo waveforms can be achieved. Hereafter, we mainly discussed the factors affecting the amplitude and size (width) of the echoes. The experimental results implied that the slope of the terrain, backscattering coefficient and reflectivity, target height, target position in the footprint and area reacted with the pulse all can affect the energy distribution of the echo waveform and the receiving time. Finally, Gaussian decomposition is utilized to decompose the echo waveform. From the experiment, it can be noted that the factors which can affect the echo waveform and by this way we can know more about large footprint full-waveform satellite laser altimeter.
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