Blind Recognition Algorithm of Multi-Carrier Composite Modulation Signal Based on Multi-Dimensional Time-Frequency Superimposed Spectrum by Shoubin Wang, Huan Li, Xiaolong Zhang, Hao Jiang, Lei Shen

“…To address this issue, this paper proposes a multi-carrier composite signal modulation recognition algorithm based on a multi-dimensional time-frequency superimposed spectrum (MD-TFSS) with integrated inner and outer features, which can recognize composite modulation signals in the set {BPSK-PM, QPSK-PM, BPSK-QPSK-PM, BPSK-BPSK-PM, QPSK-QPSK-PM}. …”
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An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels by Xiaoya Zuo, Yuan Yang, Rugui Yao, Ye Fan, Lu Li

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A novel fault location method for multi-terminal transmission lines based on composite analysis of time-frequency fault traveling waves by Jupeng Zeng, Xiangjun Zeng, Hao Bai, Kun Yu, Min Xu, Xiaolong She, Feng Liu

“…In order to solve the problems such as complex fault branch determination, large fault location error and low error tolerance of the existing multi-terminal transmission line (MTTL) fault location method, due to the influence of fault traveling wave (FTW) wave head (WH) time extraction accuracy and network topology structure, a novel fault location method for MTTLs based on composite analysis of time–frequency FTW is proposed. …”
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A Time-Frequency Research for Ultrasonic Guided Wave Generated from the Debonding Based on a Novel Time-Frequency Analysis Technique by Junhua Wu, Zheshu Ma, Yonghui Zhang

“…Debonding is a major defect of the carbon fibre composite. The time-frequency analysis is fundamental to identify the defect on ultrasonic nondestructive evaluation and testing. …”
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A fault location scheme based on composite traveling wave with transients in adjacent fault-free lines by Pulin Cao, Xiaoxu Cheng, Yiming Han, Hongchun Shu, Yutang Ma, Lu Zhang, Hongda Tang, Bo Yang

“…Due to the negative refraction coefficient, traveling waves from remote terminals of adjacent fault-free line can be reduced by the proposed composite traveling wave. Secondly, the time–frequency matrices of composite traveling wave and original traveling wave is obtained by S-transform. …”
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Research on the Time-Frequency Spillover Effect of High-Frequency Stock Price and Economic Policy Uncertainty by Shuzhen Zhu, Zhen He, Suxue Wang

“…At the same time, the 5-minute high-frequency volatility of the Shanghai Composite Index (SSEC) and the Hang Seng Index (HSI) is selected to represent the Shanghai and Hong Kong’s stock market, respectively. …”
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Extraction of Periodic Characteristics and Long-Term Stock Price Forecasting Using Non-Harmonic Analysis With Over 14 Years of NASDAQ Data Before and After COVID-19 by Yuki Kojima, Li Ma, Keisuke Nomoto, Masaya Hasegawa, Shigeki Hirobayashi

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THE COMPUTER-AIDED CONTROLLING OF TECHNICAL AND TECHNOLOGICAL PLANTS IN THE WAVELET MEDIUM by Fedosenkov D.B., Tokarev S.V., Simikova A.A., Iskhakov R.R., Fedosenkov B.A.

“…Dosing processes in mixture producing aggregates for receiving dry dispersed compositions of various kinds are considered as a research plant. …”
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Exploration of the causes of abnormal mold level fluctuation in thin slab continuous casting mold by Zhendong Wang, Rudong Wang, Jinrui Liu, Wenwen Yu, Gengyang Li, Heng Cui

“…The discrete wavelet transform (DWT) method is used to decompose the mold level fluctuation and different process parameters. The frequency composition of abnormal fluctuations was clarified, and the causes of the abnormal fluctuations were revealed. …”
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Deep learning-based GNSS composite jamming detection and recognition technology by Chenxuan Liu, Chenxuan Liu, Binbin Ren, Binbin Ren, Yuchen Xie, Yuchen Xie, Feiqiang Chen, Feiqiang Chen

“…Therefore, this study investigates composite interference detection and identification techniques using deep learning methods, improving the system’s capability to detect and identify composite interference. …”
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Composite Noise Reduction Method for Internal Leakage Acoustic Emission Signal of Safety Valve Based on IWTD-IVMD Algorithm by Shuxun Li, Xiaoqi Meng, Jianjun Hou, Kang Yuan, Xiaoya Wen

“…In view of the problems that the high-frequency acoustic emission signal of the internal leakage of the safety valve has, namely, a large number of energy-overlapping areas in the frequency domain, the overall signal presents broadband characteristics, large noise content, and no obvious time–frequency characteristics. A composite denoising method, IWTD, improved wavelet threshold function with dual adjustable factors, and the improved VMD algorithm is proposed. …”
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Clinical Features and Body Composition in Men with Hormone-Sensitive Metastatic Prostate Cancer: A Pilot Study Examining Differences by Race by Patricia M. Sheean, Paula O’Connor, Cara Joyce, Vasilios Vasilopoulos, Ami Badami, Melinda Stolley

“…Variations in body composition may contribute to these findings. However, preliminary data are required to support this concept. …”
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An Integrated Fault Identification Approach for Rolling Bearings Based on Dual-Tree Complex Wavelet Packet Transform and Generalized Composite Multiscale Amplitude-Aware Permutatio... by Wuqiang Liu, Xiaoqiang Yang, Shen Jinxing

“…If there is a fault in the bearing, the fault feature is adequately extracted using the feature extraction method combined with dual-tree complex wavelet packet transform (DTCWPT) and generalized composite multiscale amplitude-aware permutation entropy (GCMAAPE). …”
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Research on Fault Detection Technology for Circuit Breaker Operating Mechanism Combinations Based on Deep Residual Networks by Hongping Shao, Yizhe Jiang, Jianeng Zhao, Xueteng Li, Mingzhan Zhang, Mingkun Yang, Xinyu Wang, Hao Yang

“…This study focuses on the design of composite faults in combination operating mechanisms and develops simulation scenarios with varying levels of fault severity. …”
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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

“…The amalgamation of these features provides a rich representation of the fluid composition that captures both temporal and spectral characteristics. …”
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A novel principle of frequency characteristics-based current differential protection for outgoing lines of wind farms by Bingran Wang, Zengping Wang

“…The composition of the frequency band for energy calculation is then optimized based on the characteristics of the wind farm outgoing line. …”
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Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis by Maria J. Guerrero, Camilo Sánchez‐Giraldo, César A. Uribe, Víctor M. Martínez‐Arias, Claudia Isaza

“…We propose an unsupervised approach using passive acoustic monitoring data and network inference methods to analyse acoustic heterogeneity patterns based on biophony composition. This method uses sonotypes, unique acoustic entities characterized by their specific time‐frequency spaces, to establish the acoustic structure of a site through sonotype occurrences, focusing on general biophony rather than specific species and providing information on the acoustic footprint of a site. …”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Conclusions: Experimental results show that the method proposed in this paper outperforms several existing MI classification methods, such as the Common Time-Frequency-Spatial Patterns and the Selective Extract of the Multi-View Time-Frequency Decomposed Spatial, in terms of classification accuracy and robustness.…”
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基于Shannon熵的LCD-SVM方法在齿轮故障分类中的研究 by 李鹏宇, 邵忍平, 汪亚运

“…Local feature scale decomposition（Local characteristic scale decomposition,LCD）is a new adaptive time-frequency analysis method,which can adaptively decompose a complex signal into a number of ISC（Intrinsic scale component,ISC）components.SVM（support vector machine,SVM）is a kind of intelligent classification methods of machine learning,Shannon entropy is a nonlinear statistical learning methods.The LCD and SVM are introduced to the fault classification of mechanical transmission system.The Hilbert demodulation algorithm is used to strike the envelope signal of ISC components,through which the Shannon entropy is structured.After an in-depth analysis on the basis,it is combined with SVM in good relationship.The result is input vectors of SVM classifier,the trained SVM is used to determine the fault location,the type or degree of the test sample.Through the experimental analysis and verification,using this combining method,the recognition rate of four operating states which contains the normal state,the root crack of tooth,the wear of tooth surface,the composite fault is up to 97.5%.…”
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Rail Corrugation Characteristics Deduced from a Wavelet Analysis of High-Speed Train Interior Noise and Vibration by Xiaohan Phrain Gu, Yajing Han, Junming Shi, Anbin Wang

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