Signal denoising based on the Schrödinger operator's eigenspectrum and a curvature constraint by P. Li, T.M. Laleg‐Kirati

“…Combined with semi‐classical signal analysis, we refer this method as C‐SCSA in the context. …”
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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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Research and Modeling of the Bidirectional Half-Bridge Current-Doubler DC/DC Converter by Liang Huang, Xinchao Dong, Changjun Xie, Shuhai Quan, Yang Gao

“…This paper will focus on the circuit modeling of steady-state analysis and small signal analysis, analyzing the influence parameters for the inductor current by steady-state model and analyzing the stability of the system by the small signal model. …”
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STABILITY CONTROL MODELLING UNDER DYNAMIC MOTION SCENARIO OF A DIFFERENTIAL DRIVE ROBOT by ADEDOTUN O. OWOJORI, KAYODE F. AKINGBADE, WALIU O. APENA, ERASTUS O. OGUNTI

“…Scenarios of disturbance would be simulated to ascertain the stability conditions of the system at static position or dynamic position. Signal analysis and computer vision techniques serve as leverage to make the design achievable. …”
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Application of Low-Frequency Processing Method Based on VMD Algorithm in Blasting Signal Processing by Bei Jia, Shenglin Li, Dianshu Liu, Shuaifeng Wu

“…In the field of blasting vibration signal analysis, accurate removal of low-frequency noise in the signal has important practical significance. …”
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La méthode des analogues : reproduire le caractère saisonnier de la distribution d’eau potable dans les stations touristiques de montagne by Martin Calianno

“…It involves monitoring on a sample of domestic drinking-water meters with a daily resolution, to identify the different demand regimes and use them as « patterns » to reproduce the municipal distribution signal. Analysis of the distribution of drinking water has highlighted two types of variability : high frequency (weekly) and low frequency (seasonal). …”
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Optimization of Music Feature Recognition System for Internet of Things Environment Based on Dynamic Time Regularization Algorithm by Hong Kai

“…The physical sensing layer of the system places sound sensors at different locations to collect the original music signals and uses a digital signal processor to carry out music signal analysis and processing. The network transmission layer transmits the completed music signals to the music signal database in the application layer of the system. …”
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Application of EMD-Based SVD and SVM to Coal-Gangue Interface Detection by Wei Liu, Kai He, Qun Gao, Cheng-yin Liu

“…This paper proposes a new vibration signal analysis approach to detecting the coal-gangue interface based on singular value decomposition (SVD) techniques and support vector machines (SVMs). …”
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50 Years of scientific thought on Machine Diagnostics in PolanD anD its influence on MaritiMe aPPlications by Klekot Grzegorz, Dąbrowski Zbigniew, Dziurdź Jacek

“…It is also shown how methodologies have changed with the progress of digital signal analysis. The example presented in the second part of the article demonstrates that the well-known and technically important task of diagnosing a gear set can now be solved without looking for a classic state→symptom relationship through an accurate dynamic description of the machine and comparing it with the results of an experiment, but instead by comparing observations at different points in the n-dimensional space with an abstract pattern generated by a sequence of logical transformations. …”
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A Novel Fault Diagnosis Method for Diesel Engine Based on MVMD and Band Energy by Cheng Gu, Xinyong Qiao, Ying Jin, Yanbin Liu

“…In traditional vibration signal analysis, most processing methods are for single-channel data. …”
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Analiza audytywno-akustyczna danych językowych z wykorzystaniem programów komputerowych: EXMARaLDA i Praat by Marta Rogozińska

“…The article is of a practical nature and aims to familiarise the interested reader with selected functions for qualitative and quantitative (signal) analysis of speech.…”
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Multilevel Feature Extraction Method for Adaptive Fault Diagnosis of Railway Axle Box Bearing by Zhigang Liu, Long Zhang, Guoliang Xiong

“…The simulation results and measured signal analysis of railway axle box bearing show that ESMK can effectively measure periodic transient shocks under strong shock interference compared with the MED-RSSD method. …”
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Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling by Roberto Outa, Fabio Roberto Chavarette, Vishnu Narayan Mishra, Aparecido Carlos Gonçalves, Adriana Garcia, Sandro da Silva Pinto, Laxmi Rathour, Lakshmi Narayan Mishra

“…In order to have this condition met, during the development of this work, the Wiener filter technique, the vibration and acoustic signal analysis (FRF), the application of negative selection AIS techniques for classification and grouping of signals were applied. …”
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Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI by Tae-Ju Lee, Seung-Min Park, Kwee-Bo Sim

“…We conclude that the heuristic approach using the HS algorithm on the BCI is beneficial for EEG signal analysis.…”
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High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

“…In the proposed algorithm, 1D signal analysis for HIF detection in the MV distribution system is performed for the first time for fault analysis. …”
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Nifedipine-Induced Changes in the Electrohysterogram of Preterm Contractions: Feasibility in Clinical Practice by Maartje P. G. C. Vinken, C. Rabotti, M. Mischi, J. O. E. H. van Laar, S. G. Oei

“…Conclusions. EHG signal analysis has great potential for quantitative monitoring of uterine contractions. …”
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Detection of Mild Moldy-Core Disease in Apples by Fusing Acoustic-Vibration Signals and Visible-Near-Infrared Transmission Spectroscopy by GU Jiahui, LAI Lisi, WANG Kai, ZHANG Hui

“…For the acoustic-vibration signals, 7 time-domain features were optimized by using the YSV engineering test and signal analysis software as well as calculating Pearson correlation coefficients. …”
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Multiple Aliasing of Windowed Real-Valued Signal as a Cause of Accuracy Limitation of DFT Methods by Karel Hajek, Zdenek Kohl

“…DFT spectral signal analysis is a widely used method for various types of signal processing due to its several advantages. …”
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MOTION PRECISION ANALYSIS OF PERMANENT MAGNET SYBCHRONOUS GRINDING MOTORIZED SPINDLE by GAO Feng, CHENG MingKe, LI Yan, HE PingPing, JIA WeiTao

“…Combined with the time domain and frequency domain signal analysis methods,the axial motion error trajectory is analyzed. …”
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Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing by Zhi Xu, Gang Tang, Mengfu He

“…But peak-based wavelet parameters need to be optimized due to the determined basis function and constant resolution, which will affect the efficiency of vibration signal analysis. To address these problems, a peak-based mode decomposition is proposed for weak bearing fault feature enhancement and detection. …”
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