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301
Sparse Signal Representations of Bearing Fault Signals for Exhibiting Bearing Fault Features
Published 2016-01-01“…Firstly, to enhance bearing fault signals, particle swarm optimization is introduced to tune the parameters of wavelet transform and the optimal wavelet transform is used for retaining one of the resonant frequency bands. …”
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302
A Simple Hybrid Model for Short-Term Load Forecasting
Published 2013-01-01“…The historical noisy load series data is decomposed into deterministic and fluctuation components using suitable wavelet coefficient thresholds and wavelet reconstruction method. …”
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303
Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model
Published 2023-01-01“…Comparatively, the method exhibits superior numerical performance to alternative wavelet spectral methods like the Shannon–Gabor wavelet.…”
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304
-Advanced Models for Tsunami and Rogue Waves
Published 2012-01-01“…A wavelet , that satisfies the q-advanced differential equation for , is used to model N-wave oscillations observed in tsunamis. …”
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305
Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods
Published 2016-01-01“…For the purpose of PCI prediction, three Support Vector Machine (SVM) models, namely, SVM coupled with the discrete wavelet transform (SVM-Wavelet), the firefly algorithm (SVM-FFA), and using the radial basis function (SVM-RBF), were developed and used. …”
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306
Study on the Damage Diagnosis of Ancient Wood Structure in Tianshui under Traffic Excitation
Published 2022-01-01“…The node acceleration response signals on beams were decomposed with a wavelet packet. The wavelet packet energy curvature difference index was proposed to determine the structural damage location. …”
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307
A Novel Fault Diagnosis Approach for Rolling Bearing Based on CWT and Adaptive Sparse Representation
Published 2022-01-01“…Extraction and enhancement of weak impulse signature is the key of rolling bearing fault prognostics in which case the features are often weak and covered by noise. Tunable Q-factor wavelet transform (TQWT), as an emerging wavelet construction theory developed in a frequency domain explicitly, has the advantages of matching with the specific oscillation behavior of signal components. …”
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308
The Influence of Interference Layer on the Prediction of Seismic Information of Channel Sedimentary Reservoir
Published 2022-01-01“…When the lithological composition is relatively stable, the degree of interference of the interference layer is closely related to the seismic wavelet, and it is especially susceptible to the main frequency of the seismic wavelet. …”
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309
Design of Pulse Waveform for Waveform Division Multiple Access UWB Wireless Communication System
Published 2014-01-01“…A new multiple access scheme, Waveform Division Multiple Access (WDMA) based on the orthogonal wavelet function, is presented. After studying the correlation properties of different categories of single wavelet functions, the one with the best correlation property will be chosen as the foundation for combined waveform. …”
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310
Approach to Predict Land Subsidence in Old Goafs considering the Influence of Engineering Noise
Published 2022-01-01“…Combining the actual engineering subsidence monitoring data of the old goaf, compared with the prediction results of the LSTM and RNN models without DB wavelet decomposition and the gray model GM (1,1), the results show that the DB wavelet has an obvious improvement effect in reducing the influence of measurement data noise on prediction error. …”
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311
Structural Damage Identification Based on the Transmissibility Function and Support Vector Machine
Published 2018-01-01“…Then two damage features, namely, wavelet packet energy vector and the low order principal components, are constructed by analyzing the amplitude of the transmissibility function with wavelet packet decomposition and principal component analysis separately. …”
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312
Prediction of shallow bit position based on vibration signal monitoring of bit broken rock
Published 2021-01-01“…The signal is decomposed by wavelet in the time and frequency domains, and the wavelet energy coefficients of each frequency band are extracted. …”
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313
Revisiting the Question: The Cause of the Solar Cycle Variation of Total Solar Irradiance
Published 2019-01-01“…In order to understand the cause of the solar cycle variation of TSI, we use extension of wavelet transform, wavelet coherence (WTC), and partial wavelet coherence (PWC), to revisit this issue. …”
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314
Multilayered Infinite Medium Subject to a Moving Load: Dynamic Response and Optimization Using Coiflet Expansion
Published 2012-01-01“…A wavelet based approach is proposed in this paper for analysis and optimization of the dynamical response of a multilayered medium subject to a moving load with respect to the material properties and thickness of supporting half-space. …”
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315
Research on Recognition of Quiet Period of Sandstone Acoustic Emission Based on Four Machine Learning Algorithms
Published 2022-01-01“…In the process of establishing the model, the time domain data of acoustic emission were standardized and processed by box diagram method, so as to clean the abnormal data and reduce the dimension, and the frequency domain data were denoised by wavelet four-layer transform and wavelet packet three-layer energy decomposition, and a group of 8 wavelet packet energy parameters were established as frequency domain characteristic parameters. …”
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316
PSYCHOACOUSTICALLY MOTIVATED TIME-FREQUENCY DICTIONARY BUILDING FOR UNIVERSAL SCALABLE AUDIOCODER BASED ON THE SPARSE APPROXIMATION
Published 2017-12-01“…The article studies the process of creating a perceptually-motivated dictionary of the timefrequency functions based on the wavelet packet transform optimized for the input signal frame and its utilization in the universal scalable real-time audiocoder. …”
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317
Simulation of Novel NEMS Contact Switch Using MRTD with Alterable Steps
Published 2010-01-01“…The major advantage of the MRTD algorithms is their capability to develop real-time time and space adaptive grids through the efficient thresholding of the wavelet coefficients. The error between the measured and computed results is below 5%, this indicated that the Haar-wavelet-based multiresolution time domain was suitable for simulating the nano-scaling contact switch.…”
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318
Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing
Published 2020-01-01“…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. …”
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319
Construction of Target Controllable Image Segmentation Model Based on Homotopy Perturbation Technology
Published 2013-01-01“…Combining the multiscale wavelet interpolation operator and HPM, a semianalytical numerical method can be obtained, which can improve the computational efficiency and accuracy greatly. …”
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320
On the Solutions of Fractional Burgers-Fisher and Generalized Fisher’s Equations Using Two Reliable Methods
Published 2014-01-01“…Two reliable techniques, Haar wavelet method and optimal homotopy asymptotic method (OHAM), are presented. …”
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