Two-Phase Model of Multistep Forecasting of Traffic State Reliability by Jufen Yang, Zhigang Liu, Guiyan Jiang, Lin Zhu

“…Then a two-phase model is established based on wavelet neural network optimized by particle swarm optimization. …”
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Seismic Fragility Assessment of RC Plan-Asymmetric Wall-Frame Structures Based on the Enhanced Damage Model by Ning Wang, Xiaoning Huang, Dan Zhang

“…Results show that the wavelet transforms coefficient method can evaluate the worst-case input angles with low time-consuming and high efficiency. …”
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Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics by Peng Yu, Cha-Yan Wan, Chang-Shun Wu, Jia-Ni Shou, Cun-Gui Cheng

“…The result of Cluster analysis is not satisfactory. The discrete wavelet transformation (DWT) and a support vector machine (SVM) were used for further study. …”
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Dynamic Influence of Near-Source Seismic Ground Motion on Underground Mine Working Stability Using Time-Frequency Analysis by Adam Lurka, Grzegorz Mutke, Piotr Małkowski

“…Using numerical calculations, the continuous wavelet transform (CWT) of the recorded near-source seismic signals in three perpendicular directions was obtained to characterize its time-frequency properties. …”
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Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network by Qingjiao Cao, Liying Wang, Jiajie Zhang, Tengfei Guo, Xiyuan Liu

“…The feature vectors of vibration signals are extracted by wavelet denoising and EEMD decomposition. The weights and thresholds in BP neural network are optimized by the MRFO algorithm. …”
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Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method by Jing Tian, Yanting Ai, Chengwei Fei, Ming Zhao, Fengling Zhang, Zhi Wang

“…For the fault diagnosis of intershaft bearings, the fusion information exergy distance method (FIEDM) is proposed by fusing four information exergies, such as singular spectrum exergy, power spectrum exergy, wavelet energy spectrum exergy, and wavelet space spectrum exergy, which are extracted from acoustic emission (AE) signals under multiple rotational speeds and multimeasuring points. …”
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A Single-sample Fault Diagnosis Method of a Wind Turbine Transmission Chain by Ruan Aiguo, Shen Zhongming, Liu Fabing, Zhao Hai, He Yangzhang, Qian Junbing, Zhang Wei

“…The new fault signal decomposed by wavelet packet, and the wavelet packet is decomposed into the third layer component for signal reconstruction. …”
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Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology by Lihe Ding, Lei-ming Yuan, Yiye Sun, Xia Zhang, Jianpeng Li, Zou Yan

“…The optimal classifying results were obtained by wavelet-PLS-DA classifier, whose average precision, sensitivity, and specificity are all above 0.95, and the overall accuracy of all samples is 0.97. …”
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Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

“…Initially, vibration and cutting force signals from CNC machining are preprocessed using time-domain segmentation, Hampel filtering, and wavelet denoising. Subsequently, time-domain, frequency-domain, and time–frequency domain features are extracted from the preprocessed data using FFT and wavelet packet decomposition, followed by feature screening for tool wear mapping via Pearson correlation and XGBoost feature importance analysis as model input. …”
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An overlapping sliding window and combined features based emotion recognition system for EEG signals by Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga, Ranjita Pandey

“…Two features are extracted using Fourier and Wavelet transforms: normalised band power (NBP) and normalised wavelet energy (NWE), respectively. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…This paper presents a novel application of ANNs in the wavelet domain for PET volume segmentation. ANN performance evaluation using different training algorithms in both spatial and wavelet domains with a different number of neurons in the hidden layer is also presented. …”
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CMB Map Restoration by J. Bobin, J.-L. Starck, F. Sureau, J. Fadili

“…In this paper, we introduce a novel noise reduction framework coined LIW-Filtering for Linear Iterative Wavelet Filtering which is able to account for the noise spatial variability thanks to a wavelet-based modeling while keeping the highly desired linearity of the Wiener filter. …”
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Evaluation of an Information Flow Gain Algorithm for Microsensor Information Flow in Limber Motor Rehabilitation by Naiqiao Ning, Yong Tang

“…The EMG signals were processed by the trap and filter combination denoising method and wavelet denoising method, respectively, the signal-to-noise ratio was used to evaluate the noise reduction effect, and finally, the wavelet denoising method with a better noise reduction effect was selected to process all the EMG signals. …”
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Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

“…Although the results with the networks trained show less accuracy than the PRESTO algorithm, they are more accurate than the Laplace Wavelet estimation, and the results are promising enough to justify extended investigation on this area. …”
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Research and Application of Vibration Monitoring Technology of Blast Furnace Top Gearbox by Lou Shiyu, Luo Dachun, Tang Zhiyong, Xie Han

“…Through picking up the signal on the blast furnace top gearbox transmission model,using wavelet technology and the envelope demodulation method,the signal analysis is carried out,the gearbox online vibration monitoring system is established. …”
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High data rate transmissions in UWB system using orthogonal pulses by LIANG Zhao-hui1, DU Hong-feng1, ZHOU Zheng1

“…Two orthogonal pulses based on wavelet were presented,their spectrum meet FCC spectral mask for ultra wideband （UWB） system.A novel method for high data rate transmissions in UWB system was proposed.It employs a combination of pulse polarity and orthogonal pulses shape modulation and implements high date rate by transmitting more bits simultaneously.…”
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Aircraft Actuator Performance Analysis Based on Dynamic Neural Network by Wathiq Rafa Abed

“…The proposed method starts with the current and vibration signal as failure indicators and a dual-tree complex wavelet transformation (DTCWT) to generate the necessary features. …”
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New time-frequency method of harmonic signal extraction in chaotic secure communication system by WANG Er-fu, WANG Dong-qing, DING Qun

“…after the time-frequency character analyses of the chaos,the noise and the harmonic signal,a new two-step extraction method of time-frequency was put forward,aimed to complement each other’s advantages and mutual fusion for wavelet multi-scale decomposition and empirical mode decomposition.The problem that the influence of the amplitude,frequency and noise energy on the extraction performance is also dissuced.Computer simulation verified that the method has high availability.…”
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Gear Fault Diagnosis based on Feature Fusion and Sparse Representation by Wang Jiangping, Duan Tengfei

“…The energy of every subband of gear vibration signal is extracted with wavelet packet decomposition,and the energy constitutes original feature vector. …”
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Backpropagation Neural Network Implementation for Medical Image Compression by Kamil Dimililer

“…An ideal image compression system must yield high-quality compressed image with high compression ratio. In this paper, Haar wavelet transform and discrete cosine transform are considered and a neural network is trained to relate the X-ray image contents to their ideal compression method and their optimum compression ratio.…”
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