Showing 161 - 180 results of 472 for search '"waveform"', query time: 0.06s Refine Results
  1. 161

    FASQuiC: Flexible Architecture for Scalable Spin Qubit Control by Mathieu Toubeix, Eric Guthmuller, Adrian Evans, Antoine Faurie, Tristan Meunier

    Published 2024-01-01
    “…This article presents a compact direct digital synthesis architecture for signal generation adapted for spin qubits that is scalable in terms of waveform accuracy and the number of synchronized channels. …”
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  2. 162

    Smart furniture using radar technology for cardiac health monitoring by Ali Gharamohammadi, Mohammad Omid Bagheri, Serene Abu-Sardanah, Michael M. Y. R. Riad, Hajar Abedi, Ahmad Ansariyan, Kang Wang, Ashish Saragadam, Dmytro Chumachenko, Shahabeddin Abhari, Plinio Pelegrini Morita, Amir Khajepour, George Shaker

    Published 2025-01-01
    “…In this paper, we introduce a millimeter (mm)-wave radar system positioned strategically behind a seat, featuring an algorithm capable of identifying unique cardiac waveform patterns for healthy subjects. These patterns are characterized by two peaks followed by a valley in each cycle, which can be correlated to Electrocardiogram (ECG), enabling effective cardiac waveform monitoring. …”
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  3. 163

    One-Step Family of Three Optimized Second-Derivative Hybrid Block Methods for Solving First-Order Stiff Problems by Saidu Daudu Yakubu, Precious Sibanda

    Published 2024-01-01
    “…The proposed methods were implemented using the waveform relaxation technique, and the computed results demonstrated the superiority of these schemes over certain existing methods investigated in the study.…”
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  4. 164

    Intelligent communication and networking key technologies for manned/unmanned cooperation: states-of-the-art and trends by Hao YIN, Jibo WEI, Haitao ZHAO, Jiao ZHANG, Haijun WANG, Baoquan REN

    Published 2024-01-01
    “…The intelligent communication and networking technologies for manned/unmanned cooperation was comprehensively surveyed.Firstly, the requirements on communication and networking were analyzed from the application scenarios of manned/unmanned cooperation.Then, in context of physical layer, link layer and network layer respectively, the key issues regarding channel modeling, waveform design, networking protocol and intelligent collaboration were analyzed.And the states-of-the-art in this research area and the characteristics of representative technologies were deeply studied.In the end, the possible development trends and promising technologies were prospected on the way to make the manned/unmanned cooperative communication and networking more intelligent, more efficient and more flexible.…”
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  5. 165

    Cardiopulmonary Resuscitation in Interfacility Transport: An International Report Using the Ground Air Medical Quality in Transport (GAMUT) Database by Utpal S. Bhalala, Neeraj Srivastava, M. David Gothard, Michael T. Bigham

    Published 2020-01-01
    “…Other transport quality metrics such as waveform capnography, first attempt intubation, and DASH1A success rate were not significantly associated with CPR episodes. …”
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  6. 166

    Using airborne LiDAR and enhanced-geolocated GEDI metrics to map structural traits over a Mediterranean forestZenodo by Aaron Cardenas-Martinez, Adrian Pascual, Emilia Guisado-Pintado, Victor Rodriguez-Galiano

    Published 2025-06-01
    “…We used two sources of 3D-structural metrics, LiDAR point clouds and full-waveform space-borne LiDAR from GEDI to estimate forest structure in a protected area of Southern Spain, home of relict species in jeopardy due to recent extreme water-stress conditions. …”
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  7. 167

    Measuring. Monitoring. Management. Control by A.V. Svetlov, A.S. Koldov

    Published 2024-12-01
    “…Provided the sinusoidal voltage waveform is with 5 V to 10 V amplitude and 100 Hz to 1 MHz frequency, the relative error in converting the rms voltage value falls short of ± 2 %, and the relative error in converting the voltage amplitude being ± 1.5 %. …”
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  8. 168

    Enhancement of underwater acoustic signal based on denoising automatic-encoder by Jingwei YIN, Wuxiong LUO, Li LI, Xiao HAN, Longxiang GUO, Jianfeng WANG

    Published 2019-10-01
    “…Aiming at the difficulty of feature extraction of echo signal in active sonar,a self-encoder algorithm based on the combination of denoising self-encoder and convolution denoising self-encoder was proposed.Firstly,the preprocessing of noisy signal was carried out by using the advantage of denoising self-encoder in signal as a whole,and then the local feature of signal was optimized by combining convolutional denoising self-encoder to denoise the signal locally,so as to enhance the signal.The time domain waveform of the received signal is used as the feature input by the algorithm,and retains the signal’s amplitude and phase characteristics.The experimental results show that the algorithm not only effectively reduces the noise component in the signal,but also achieves better recovery effect in both time and frequency domains.…”
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  9. 169

    Theory of bunched beam transverse Schottky signals with stationary rf system and high-order chromaticity by Kacper Lasocha, Christophe Lannoy, Nicolas Mounet, Diogo Alves

    Published 2024-11-01
    “…In this work, we loosen these assumptions, by proving that the relationships linking the spectra with transverse emittance and betatron tune remain universally unchanged regardless of the shape of the rf waveform and chromaticity up to any order, while for the first-order chromaticity, we derive compact formulas for error estimates. …”
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  10. 170

    FAULT DIAGNOSIS OF HYDRAULIC PUMP BASED ON SDP IMAGE FEATURE AND ANNC by LIU Jian

    Published 2018-01-01
    “…Aiming at the key steps of hydraulic pump fault diagnosis such as feature extraction and pattern recognition, a fault diagnosis method of hydraulic pump based on symmetrized dot pattern(SDP) image feature and adaptive nearest neighbor classifier(ANNC) is introduced in this paper. Firstly, the time waveform was transformed to snowflake image in polar coordinate space by symmetrized dot pattern(SDP) method. …”
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  11. 171

    Transient Flows of Newtonian Fluid through a Rectangular Microchannel with Slip Boundary by Benchawan Wiwatanapataphee, Yong Hong Wu, Suharsono Suharsono

    Published 2014-01-01
    “…If the pressure gradient is constant, the flow rate is almost linearly proportional to the slip parameter l when l is large; if the pressure gradient is in a waveform, as the slip parameter l increases, the amplitude of the flow rate increases until approaching a constant value when l becomes sufficiently large.…”
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  12. 172

    Ultrasonic Characterization of the Fiber-Matrix Interfacial Bond in Aerospace Composites by D. G. Aggelis, D. Kleitsa, T. E. Matikas

    Published 2013-01-01
    “…Reflection relies on the bonding quality and results in discernable changes in the received waveform. The key element is the “interphase” model material with varying stiffness. …”
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  13. 173

    Design of a subnonsecond Gauusisan pulse generator based on the RF transistor by YANG Feng1, XUE Quan2, CHAN Chi-hao2

    Published 2005-01-01
    “…A simple and low cost subnonsecond Gaussian pulse generator was developed using RF transistor,chip resistors,and chip capacitors.The generator utilized a differential circuit to convert signal from the FPGA into a pairs of positive and negative pulses,which was then used to control the “on” and “off” states of the RF transistor,thus generating an ultra-short pulse through the charging and discharging of the capacitor.The measured results shows that output waveform have 0.8ns pulse duration and morn than 1.8V from an input wave of 25MHz repetition rate.Good agreement between the measured and calculated results is achieved.This circuits is suitable for microwave integrated circuits(MIC).…”
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  14. 174

    Channel estimation of UFMC system in multipath channel by Xiang YU, Yanni GAO, Sirui DUAN

    Published 2018-04-01
    “…As a candidate waveform of 5G,universal filter multi-carrier (UFMC) technology could inhibit out-of-band radiation,achieve loose synchronization and well support the short bursts of things in the transmission.However,in the UFMC transmission without cyclic prefix (CP),inter-symbol interference (ISI) and subcarrier interference (ICI) are generated in the multipath fading channel,which will affect the estimation accuracy in channel estimation.The interference of the UFMC system in multipath channel was firstly analyzed.After using the feedback equalization suppression ISI,the self-elimination algorithm was used to suppress the ICI according to the similarity between adjacent carriers,and the pilot coefficients were designed according to the UFMC system.Finally,the simulation results show that the proposed method applied to the UFMC can suppress the interference,improve the accuracy and reduce the bit error rate.…”
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  15. 175

    Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning by Francis Loignon-Houle, Nicolaus Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño-Estrada, Antonio J. Gonzalez, Etiennette Auffray, Roger Lecomte

    Published 2025-01-01
    “…Deep learning, particularly convolutional neural networks (CNNs), can also enhance CTR by training with digitized waveforms. It remains to be explored how timing estimation methods utilizing one (LED), two (TWC), or multiple (CNN) waveform data points compare in CTR performance of BGO scintillators. …”
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  16. 176

    Distinguishing Compact Objects in Extreme-Mass-Ratio Inspirals by Gravitational Waves by Lujia Xu, Shucheng Yang, Wenbiao Han, Xingyu Zhong, Rundong Tang, Yuanhao Zhang

    Published 2025-01-01
    “…EMRI signals typically have long durations, ranging from several months to several years, necessitating highly accurate GW signal templates for detection. In most waveform models, compact objects in EMRIs are treated as test particles without accounting for their spin, mass quadrupole, or tidal deformation. …”
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  17. 177
  18. 178

    Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

    Published 2022-10-01
    “…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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  19. 179

    The use of acoustic emissions technique in the monitoring of fracturing in concrete using soundless chemical demolition agent by Vassilios Saltas, Despoina Peraki, Filippos Vallianatos

    Published 2019-10-01
    “…Energy-related features and waveform parameters of the recorded AE activity are correlated to the fracture mode of the concrete where a quasi-static behavior is observed. …”
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  20. 180

    Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals by YU Hongyi, ZHA Renpeng, SHEN Zhixiang, SHEN Caiyao, HU Yunpeng

    Published 2024-12-01
    “…Aiming at the problem of optimal detection of mixed signal symbol sequences, on the basis of co-frequency mixed receiving baseband signal model, sufficient statistics for joint maximum likelihood blind detection were derived, and the optimal receiver design of “mixed waveform matched filtering and symbol rate dual sampling” was given. …”
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