INCREMENTAL HARMONIC BALANCE METHOD FOR THE STUDY OF SUPPORT LOOSENESS FAULT’S CHARACTERISTICS by CAO QingSong, XIANG Qin, XIONG GuoLiang

“…Finally,the time domain waveforms,amplitude spectrograms,phase diagrams and the Poincare sectional drawings were obtained through a simulation example,the complicated motion characteristics of rotor system with support looseness was analyzed. …”
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Inner radius and energy conditions of dark matter halos surrounding Schwarzschild black holes by Zibo Shen, Anzhong Wang, Shaoyu Yin

“…All our solutions expressed explicitly in closed form are particularly valuable for the studies of the gravitational waveforms of extreme/intermediate mass ratio inspirals and the nature of dark matter in galaxies.…”
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Accurate Parameter Estimation for Unbalanced Three-Phase System by Yuan Chen, Hing Cheung So

“…After converting the three-phase waveforms into a pair of orthogonal signals via the αβ-transformation, the nonlinear least squares (NLS) estimator is developed for accurately finding the frequency, phase, and voltage parameters. …”
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Dual-Polarized Planar Phased Array Analysis for Meteorological Applications by Chen Pang, Peter Hoogeboom, François Le Chevalier, Herman W. J. Russchenberg, Jian Dong, Tao Wang, Xuesong Wang

“…As the STSR mode with orthogonal waveforms is similar to the ATSR mode, the analysis is mainly focused on the ATSR mode and the impacts of the bias sources on the measurement of polarimetric variables are investigated through Monte Carlo simulations. …”
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Performance Analysis of Ultra-Wideband Channel for Short-Range Monopulse Radar at Ka-Band by Naohiko Iwakiri, Natsuki Hashimoto, Takehiko Kobayashi

“…Performance degradation due to a number of averaging the received monopulses was also examined to design suitable radar's waveforms.…”
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Probabilistic Multiple Pedestrian Walking Force Model including Pedestrian Inter- and Intrasubject Variabilities by Zandy O. Muhammad, Paul Reynolds

“…A probabilistic walking load model that accounts for inter- and intrasubject variabilities has been developed to generate synthetic vertical load waveforms induced by pedestrians. The mathematical model is based on a comprehensive database of continuously recorded pedestrian walking forces on an instrumented treadmill, having a wide range of walking frequencies. …”
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Overview of OTFS Based Channel Estimation Techniques in LEO Satellite Communication by Xinjie ZHAO, Ziwei LIU, Gengxin ZHANG

“…With the development of science and technology and the continuous improvement of related technologies, low earth orbit (LEO) satellite communication has become a hot technology that countries all over the world are chasing.The advantages of orthogonal time frequency spacetechnology can well solve the signal transmission problem of broadband satellite ground link in high moving speed scenarios, which is conducive to the unifi cation of modulation waveforms between satellites and the ground, and the realization of space-based integrated communication.However, its transmission performance is aff ected by the accuracy of channel estimation, and the special modulation makes its channel estimation method diff erent from the traditional technology, so it needs to be studied.The existing mainstream OTFS channel estimation schemes are introduced, and the advantages and disadvantages of each scheme were analyzed, which laied a foundation for subsequent research.…”
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Speech Recognition System Based on Machine Learning in Persian Language by Shahed Mohammadi, Niloufar Hemati, Neda Mohammadi

“…Both datasets were converted into images of audio waveforms. Using the object detection technique, the model could extract different bounding boxes for each test audio, and then each box image goes through a CNN classifier and returns a corresponding label. …”
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Modulation recognition method based on multi-inputs convolution neural network by Xiong ZHA, Hua PENG, Xin QIN, Guang LI, Tianyun LI

“…In order to identify the main modulation modes adopted in current satellite communication systems,a signal modulation recognition algorithm based on multi-inputs convolution neural network was proposed.With the prior information of the signals and knowledge of the network topological structure,the time-domain signal waveforms were converted into eye diagrams and vector diagrams to represent the shallow features of the signals.Meanwhile,the modulation recognition model based on multi-inputs convolution neural network was designed.Through the training of the network,the shallow features were deeply extracted and mapped.Finally,the signal modulation recognition task was completed.The simulation results show that compared with the traditional algorithms and deep learning algorithms,the proposed method has a better anti-noise performance,and the overall recognition rate of this algorithm can reach 95% when the signal-to-noise ratio is 5 dB.…”
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Noncoherent multiple symbol detection of CPFSK based on decision-feedback by Qiang CHEN, Guo-sheng RUI, Wen-jun SUN, Wen-biao TIAN, Yang ZHANG

“…To reduce complexity, the approach in which ruling element information was employed to filter waveforms during length of observing bits. Besides, the theoretical performance was approved by a composition of upper bound and lower bound. …”
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Novel UWB communication pulse design method by LIN Zhi-yuan, WEI Ping

“…Based on the restriction of federal communications commission （FCC） emission mask, the methods of design- ing impulse pulse waveforms for ultra wideband （UWB） communications was investigated. …”
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Modeling of Millimeter-Wave Modulation Characteristics of Semiconductor Lasers under Strong Optical Feedback by Ahmed Bakry

“…The simulated time-domain characteristics of modulation include the waveforms of the intensity and frequency chirp as well as the associated distortions of the modulated mm-wave signal. …”
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Multichannel Speech Enhancement in Vehicle Environment Based on Interchannel Attention Mechanism by Xueli Shen, Zhenxing Liang, Shiyin Li, Yanji Jiang

“…The paper presents a feature extraction method that we use interchannel attention mechanism frame by frame for learning spatial features directly from the multichannel speech waveforms. The spatial features of the individual signals learned through the proposed method are provided as an input so that the two-stage BiLSTM network is trained to perform adaptive spatial filtering as time-domain filters spanning signal channels. …”
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Design of New High Step-Up DC-DC Converter Topology for Solar PV Applications by Shanthi Thangavelu, Prabha Umapathy

“…The proposed high-voltage gain converter topology has many advantages like low-voltage stress on the switches, high gain with low duty ratio, and a continuous input current. The analytical waveforms of the proposed converter are presented in continuous and discontinuous modes of operation. …”
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Algorithm based on randomly assigning filters to reduce PAPR in GFDM system by Miao ZHANG, Xianzhong XIE, Lei WU, Weijia LEI

“…As an alternative of the fifth generation mobile communication system waveforms,generalized frequency division multiplexing(GFDM)which has more advantages over OFDM has been trusted into the limelight.Nevertheless,GFDM still suffers from a high peak to average power ratio(PAPR).Considering that different filters have their own phase-frequency characteristics,a new algorithm based on randomly assigning filters to reduce PAPR in GFDM(RAF-GFDM)was proposed.According to the feature of GFDM system that the filter structure could be selected flexibly,different filters were assigned to subcarriers randomly to adjust the phase congruency due to signals superimposition.Additionally,this method can suppress PAPR effectively without causing signal distortion.Theoretical analysis and simulation results demonstrate that the proposed algorithm does not bring additional calculation costs while reducing PAPR and almost has no effect on the bit error rate(BER),and it may provide a higher application value.…”
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A Modified Single-Phase Single-Stage Boost Inverter by Hadi Khoramdel, Farzad Sedaghati, Hossein Shayeghi, Hadi Dolati

“…The obtained results and waveforms from test measurement present proposed inverter operation, steady state analysis and performance..…”
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SAGE-Based Algorithm for Direction-of-Arrival Estimation and Array Calibration by Kunlai Xiong, Zheng Liu, Wenli Jiang

“…To mitigate this problem, a novel method for direction-of-arrival (DOA) estimation and array calibration in the case of deterministic signals with unknown waveforms is presented in this paper. The analysis begins with a comprehensive perturbed array output model, and it is effective for various kinds of perturbations, such as mutual coupling and sensor location error. …”
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Fatigue strength of SS400 steel under non-proportional loading by T. Morishita, T. Takaoka, T. Itoh

“…The circle loading is a cyclic loading combined the push-pull and the reversed torsion loading in which axial and shear stress waveforms have 90 degrees phase differences. From the obtained test results, poor evaluations of failure life under non-proportional loading are indicated when the life is correlated by the equivalent strain range based on von Mises ??…”
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Nonlinear Dynamic Analysis of Macrofiber Composites Laminated Shells by Xiangying Guo, Dameng Liu, Wei Zhang, Lin Sun, Shuping Chen

“…Bifurcation diagram, two-dimensional and three-dimensional phase portraits, waveforms phases, and Poincare diagrams are shown to find different kinds of periodic and chaotic motions of MFC shells. …”
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Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation by Chen Meng, Yang Lu, Yan Huang, Xiaoying Lü

“…In classic MEA experiments, spike or burst rates and spike waveforms are the primary characteristics used to evaluate the neuronal network excitability. …”
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