-Advanced Models for Tsunami and Rogue Waves by D. W. Pravica, N. Randriampiry, M. J. Spurr

“…Since wavelets are used in the detection of tsunamis and rogues, the signal-analysis performance of and is examined on actual data.…”
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From speech signal to syntactic structure: A computational implementation by Tina Bögel, Tianyi Zhao

“…A system evaluation with the German data showed good results for this new combination of automatic speech signal analysis and computational grammars, which takes a significant step towards a linguistically fine-grained computational analysis and hence towards real automatic speech understanding. …”
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Preconditioning Filter Bank Decomposition Using Structured Normalized Tight Frames by Martin Ehler

“…We start with a given generalized frame whose elements allow for fast matrix vector multiplication, as, for instance, convolution operators, and compute a normalized tight frame, for which signal analysis and synthesis still preserve those fast algorithmic schemes.…”
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ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION by GUO MiaoXian, HUANG Chao, GUO WeiCheng, WU ChongJun

“…In this paper, a method of cutting vibration signal analysis and optimization based on blind source separation is proposed in milling process. …”
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Fault Diagnosis of Variable Speed Gear based on ATF and ASAD by Xiangmin Chen, Meng Duan, Qi Li, Guoqiang Shu, Kang Zhang, Luping Li

“…The simulation data and the data analysis of the variable speed gearbox test bench show that the proposed method has a good signal analysis adaptability for the gear vibration signals under the variable speed condition，and can not only filter out noise interference well，improve the noise suppression effect in the pass band，but also effectively highlight the gear fault characteristics under the variable speed condition.…”
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Application of Variational Mode Decomposition based on the FOA and in Bearing Fault Diagnosis by Chang Liu, Yanxue Wang, Jianwei Yang

“…The effectiveness of the presented method is verified by simulation signal analysis， detecting bearing fault signal and comparing with multi-resolution singular value decomposition （MRSVD） approach based on fruit fly optimization algorithm.…”
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Object Shape Recognition Using Wavelet Descriptors by Adnan Abou Nabout

“…The wavelet transform is a well-known signal analysis method in several engineering disciplines. …”
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The Partial Inner Product Space Method: A Quick Overview by Jean-Pierre Antoine, Camillo Trapani

“…In this paper, we will give an overview of PIP-spaces and operators on them, illustrating the results by space families of interest in mathematical physics and signal analysis. The interesting fact is that they allow a global definition of operators, and various operator classes on them have been defined.…”
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Fault Diagnosis of Gearbox Multi-channel Vibration Signal based on Improved Multivariate Multiscale Dispersion Entropy by Fuming Zhou, Jinxing Shen, Xiaoqiang Yang, Wuqiang Liu, Xiaolin Liu

“…The commonly applied gearbox fault diagnosis methods are almost all based on the single-channel vibration signal analysis，which is easy to cause the loss of fault information，so the practicality in industrial production is limited. …”
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Anti-fading technology of near space communication based on quasi-constant envelope OFDM by Yang LU, Donglei ZHANG, Tingting WANG

“…At the receiving end, Taylor series expansion technology was employed to divide and demodulate the signal. Analysis and simulation results show that the QCE-OFDM has the same spectral efficiency as OFDM. …”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Method and results: This research established a pain recognition model based on AI skin potential (SP) signal analysis. A total of 237 subjects participated in this study, comprising 152 boys and 85 girls, ranging in age from 2 to 16 years old. …”
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Degradation Assessment and Fault Diagnosis for Roller Bearing Based on AR Model and Fuzzy Cluster Analysis by Lingli Jiang, Yilun Liu, Xuejun Li, Anhua Chen

“…This study is significant for non-stationary and non-Gaussian signal analysis, fault diagnosis and degradation assessment.…”
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An Efficient Alternating Segment Parallel Difference Method for the Time Fractional Telegraph Equation by Lifei Wu, Xiaozhong Yang

“…The fractional telegraph equation is a kind of important evolution equation, which has an important application in signal analysis such as transmission and propagation of electrical signals. …”
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n-FFT COMPRESSED SENSING ALGORITHM OF SMART DIMENSIONALITY REDUCTION METHOD AND ITS APPLICATION IN FEATURE EXTRACTION AND CLASSIFICATION OF GEAR SYSTEM by CHEN Xiao, HUANG ChuanJin

“…It was applied in the classification study of gear signal. Analysis shows that n-FFT algorithm is fast,with high feature accumulation,is beneficial to the classify and fault monitoring and diagnosis of gear operating state.…”
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RESEARCH ON FAULT DIAGNOSIS METHOD OF OIL VIBRATION BASED ON DS EVIDENCE THEORY AND MULTI-PARAMETER FUSION (MT) by LI Qing, LI ZhaoYang, WANG TianQin, CHEN WeiHua, ZHANG Min, CHEN Bin, NIE JianHong

“…Aiming at the problem that the traditional single vibration signal analysis method is not sensitive to gear wear in the early stage, radial basis function（RBF） neural network is used to establish the classification model of the fusion of vibration time domain features and oil features. …”
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A visual-physiology multimodal system for detecting outlier behavior of participants in a reality TV show by Shinjin Kang, Donggyun Kim, Youngbin Kim

“…The goal of this system is to provide the program production team and the master of ceremonies with real-time facial expressions and bio-signal analysis results of program participants. Using this information, the program production team and master of ceremonies can easily identify the participants with unusual behavior. …”
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Fault Diagnosis of Rolling Element Bearing based on Angular Domain Empirical Wavelet Transform by Yang Changzheng

“…The rolling element bearing experimental signal analysis results show that the proposed method can effectively inhibit the influence of noise,other interference factors and extract the order ratio fault features accurately,it provides an effective method for rollering bearing fault diagnosis under variable speed.…”
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The Analogues Method: Reproducing the Seasonality of Drinking Water Distribution in Mountain Tourist Resorts 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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Effect of Absorption and Scattering on Fluorescence of Buried Tumours by Kawthar M. K. Alghourani, Wesam Bachir, George Karraz

“…Absorption coefficient of the surrounding medium is the major contributor to the fluorescent signal. Analysis of the recorded fluorescence spectra shows that the effect of absorption coefficient is larger than the effect of scattering coefficient on the fluorescence intensity by nearly fivefold. …”
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FAULT DIAGNOSIS OF GEARBOX BASED ON ADAPTIVE EEMD AND FAST KURTOGRAM by XIANG Wei, LI RuYu, WANG Hui, TIAN LiYong, YU Ning

“…Firstly, the collected vibration signals are preprocessed by EMD to obtain the key input parameters of EEMD adaptively, and then combined with the “double threshold criterion” of the kurtosis and cross-correlation coefficient quickly choose components for signal reconstruction to highlight the fault characteristic, and through the Fast Kurtogram select optimal band-pass filter parameters, finally, the signal after filtering do envelope spectrum analysis, realize the extraction of fault feature frequency and fault diagnosis.The validity of the proposed method is verified by simulation signal analysis and fault diagnosis engineering application of reducer gearbox and comparing with the EMD method and the traditional EEMD method.The results show that the proposed method can successfully extract the reducer gearbox’s early weak fault characteristics from the signal with strong background noise, and the timeliness and accuracy of fault diagnosis are improved.…”
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