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  1. 481

    Signal Nonstationary Degree Evaluation Method Based on Moving Statistics Theory by Haoxiang He, Shitao Cheng, Xiaofu Zhang

    Published 2021-01-01
    “…The results show that, compared with the existing nonstationary degree evaluation methods, the signal nonstationary degree evaluation method proposed in this paper can reveal the time-varying details of the nonstationary signals, with high precision and strong stability, and has unique advantages in nonstationary signal processing.…”
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    Article
  2. 482

    STUDY ON NEUTRON – GAMMA PULSE SHAPE DISCRIMINATION ALGORITHMS FOR SCINTILLATION DETECTOR by Phan Văn Chuân, Nguyễn Đức Hòa, Nguyễn Đắc Châu, Vương Nữ Minh Khuê

    Published 2016-09-01
    “…The four neutron - gamma pulsed shape discrimination algorithms for the model NE213 scintillation detector by using digital signal processing were developed. In this study, a pulse generator, pulse digitizer and neutron - gamma pulsed shape discrimination algorithms are simulated in Matlab, Simulink software. …”
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    Article
  3. 483

    Toward satellite-terrestrial integration: 6G cloud-fog collaborative self-organizing network by PENG Mugen, YUAN Shuo

    Published 2024-03-01
    “…However, LEO satellite networks are constrained by bottlenecks such as inadequate signal processing and computing capabilities of individual LEO satellites and constrained inter-satellite link capacity, necessitating a deep integration with terrestrial mobile communication networks that include extensive cloud-based processing and computing capabilities. …”
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    Article
  4. 484

    The Potential for a Networked Ionospheric Sounding Constellation by A. T. Chartier

    Published 2022-05-01
    “…Major advances in satellite software‐defined radio, deployable antennas, signal processing and data analysis have been made in recent years, such that a networked sounding constellation could be built at realistic cost—either as a hosted payload on commercial buses or on dedicated CubeSats.…”
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  5. 485

    Low-Power CMOS Integrated Hall Switch Sensor by Rongshan Wei, Shizhong Guo, Shanzhi Yang

    Published 2017-01-01
    “…The system includes a front-end Hall element and a back-end signal processing circuit. By optimizing the structure of the Hall element and using the orthogonal coupling and spinning current technology, the offset voltage can be suppressed effectively. …”
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    Article
  6. 486

    An Optical Fiber Measurement System for Blade Tip Clearance of Engine by Jia Binghui, He Lei

    Published 2017-01-01
    “…The optical fiber tip clearance measurement system consists of the reflective intensity-modulated optical fiber bundle (sensor), main signal processing unit, high-speed data acquisition card, and a computer. …”
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    Article
  7. 487

    Secure beamforming design for IRS-assisted SWIPT Internet of things system by Zhengyu ZHU, Jinlei XU, Gangcan SUN, Ning WANG, Wanming HAO

    Published 2021-04-01
    “…In order to meet the new requirements of intelligent signal processing deployment and physical layer security for green interconnection of things, a design method of secure beamforming was proposed to solve the problem of the shortage of sustainable energy supply in the information and energy transmission at the same time Internet of things (IoT) system assisted by intelligent reflecting surface (IRS).Considering the constraints of secrecy rate, transmit power and IRS reflection phase shift, the optimization problem was modeled as a non-convex quadratic programming problem with quadratic constraints, aiming at maximizing the acquisition power of energy collector, and jointly optimizing the base station transmit beamforming matrix, jammer covariance matrix and IRS phase shift.The non-convex quadratic problem was transformed into an equivalent convex problem by using the relaxation variable, semidefinite relaxation method, auxiliary variable and sequence parameter convex approximation method, and an alternative iterative optimization algorithm was proposed to obtain the feasible solution of the original problem.Simulation results show that the proposed algorithm can converge quickly and improve performance effectively compared with the benchmark scheme.…”
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  8. 488

    Assessment Method of Multipath Mitigation Performance for GNSS Antenna with Receiver Algorithms by Muzi Yuan, Du Li, Baiyu Li, Huaming Chen, Gang Ou

    Published 2017-01-01
    “…A method to assess multipath mitigation performance is put forward by analyzing pseudorange code phase errors caused by multipath signals after signal processing. Based on the model and method, principles in site selection for GNSS antenna are introduced to minimize effects caused by multipath.…”
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  9. 489
  10. 490

    Virtual Antenna Array Analysis for MIMO Synthetic Aperture Radars by Wen-Qin Wang

    Published 2012-01-01
    “…Most of the MIMO SAR research so far focused on signal/data models and corresponding signal processing algorithm. Little work related to MIMO SAR antenna analysis can be found. …”
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    Article
  11. 491

    Uniqueness and Asymptotic Behavior of Positive Solutions for a Fractional-Order Integral Boundary Value Problem by Min Jia, Xin Liu, Xuemai Gu

    Published 2012-01-01
    “…We study a model arising from porous media, electromagnetic, and signal processing of wireless communication system -𝒟tαx(t)=f(t,x(t),x'(t),x”(t),…,x(n-2)(t)),  0<t<1,   x(0)=x'(0)=⋯=x(n-2)(0)=0,   x(n-2)(1)=∫01x(n-2)(s)dA(s), where n-1<α≤n,   n∈ℕ and n≥2, 𝒟tα is the standard Riemann-Liouville derivative, ∫01x(s)dA(s) is linear functionals given by Riemann-Stieltjes integrals, A is a function of bounded variation, and dA can be a changing-sign measure. …”
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  12. 492

    Evaluation method of penetrating jamming effectiveness for cognitive communication protection by Zhiguo SUN, Shuo XIAO, Yijie WU, Shiming LI, Zhenduo WANG

    Published 2023-11-01
    “…In order to support the implementation of “multidimensional orthogonal configured communication protection between communication modules as well as parameters and interference” in cognitive communication countermeasures scenarios, jamming effectiveness requires module level responsiveness.A penetrating jamming effectiveness evaluation method was proposed.Firstly, the core parameters of each signal processing module were selected as evaluation parameters.Secondly, analytic hierarchy process (AHP) and entropy weight method (EWM) were used to determine the weight of indicators.The coordination problem in AHP was solved through expert weight allocation, and the weight allocation problem in EWM was solved through non-uniform mapping.Finally, the subjective and objective weights were weighed through game theory, and the jamming effectiveness was judged by the technique for order preference by similarity to ideal solution (TOPSIS).By conducting evaluation experiments on the jamming performance of the Link16 data link, taking into account multiple aspects such as jamming types, number of jamming frequencies, jamming duration, and system types.Experiment results demonstrate that the penetration-based jamming performance evaluation method not only provides a more intuitive representation of the relationship between evaluation results and metric parameters, but also possesses excellent jamming discrimination capability.…”
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  13. 493

    Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods by Hanane Arahmane, El-Mehdi Hamzaoui, Rajaa Cherkaoui El Moursli

    Published 2019-01-01
    “…In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-gamma discrimination software-based approaches. These signal processing tools have allowed to recover original source components from real-world mixture signals which have been recorded at the output of the stilbene scintillation detector. …”
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    Article
  14. 494

    Theory of Faults (ToF): Numerical Quality Management in Complex Systems by Niv Yonat, Igal M. Shohet

    Published 2025-01-01
    “…A statistical analysis provides a phase parameter, descriptive statistics elucidate trending and emergent behaviors, digital signal processing expounds the effects of signals on information overload, and a directed-network analysis portray morphology, entropy, and time effects. …”
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    Article
  15. 495

    Hybrid multi-objective optimization of µ-synthesis robust controller for frequency regulation in isolated microgrids by Abdallah Mohammed, Ahmed Kadry, Maged Abo-Adma, Adel El Samahy, Rasha Elazab

    Published 2025-01-01
    “…The results highlight the proposed controller’s effectiveness in isolated microgrid frequency regulation, with future work focused on discrete-time implementation for practical digital signal processing (DSP) applications.…”
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    Article
  16. 496

    Research on Fault Diagnosis Method Based on Improved CNN by Hu Hao, Feng Fuzhou, Zhu Junzhen, Zhou Xun, Jiang Pengcheng, Jiang Feng, Xue Jun, Li Yazhi, Sun Guanghui

    Published 2022-01-01
    “…Traditional fault diagnosis methods require complex signal processing and expert experience, and the accuracy of fault identification is low. …”
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    Article
  17. 497

    Decoherence in spin wave propagation via precursor pulses during signal equilibration by Cameron Aidan McEleney, Robert E. Camley, Rair Macêdo

    Published 2025-02-01
    “…Understanding the relationship between spin wave dispersion and decoherence can enable engineering magnonic devices supporting well-resolved signals for magnonic computing and signal processing.…”
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    Article
  18. 498

    Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS by Dongliang Wang, Yikun Nie, Gaolei Hu, Hon Ki Tsang, Chaoran Huang

    Published 2024-12-01
    “…This work lays the foundation for ultrafast on-chip photonic RC, representing significant progress toward developing next-generation high-speed photonic computing and signal processing.…”
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    Article
  19. 499

    Research on acoustic emission precursor characteristics of coal sample unloading failure based on discrete wavelet analysis by Shaojie Ma, Yan Zhou, Depeng Ma

    Published 2024-12-01
    “…However, as a discrete non-stationary signal, acoustic emission information is difficult to be effectively processed by conventional methods, while wavelet analysis is an effective method for non-stationary signal processing. Therefore, acoustic emission signal is deeply studied by using wavelet analysis method. …”
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    Article
  20. 500