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The classification of SSVEP-BCI based on ear-EEG via RandOm Convolutional KErnel Transform with Morlet wavelet
During the advantages of shorter training and higher information throughput, steady-state visual evoked potential (SSVEP) is widely used in...
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Combined VMD-Morlet Wavelet Filter Based Signal De-noising Approach and Its Applications in Bearing Fault Diagnosis
ObjectiveRolling element bearings are an essential part of rotating machinery. Sudden bearing failure may lead to catastrophic machine failure. Early...
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Multi-pitch Detection Using Complex Morlet Wavelet-Based Technique
In recent trends of music signal processing, different components of music signal like pitch, harmonics, tempo, rhythm, melody, beats, musical...
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Bearing fault diagnosis based on optimal Morlet wavelet filter and Teager-Kaiser energy operator
A defective rolling bearing usually generates repetitive impulses often appears as an amplitude modulated signal, which contains fault feature. To...
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Enhancement of Morlet Mother Wavelet in Time–Frequency Domain in Electroencephalogram (EEG) Signals for Driver Fatigue Classification
Driving is hazardous due to various factors, including driving attitudes, road type, and driving perceptual environment. These influences factors may...
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Detection Method of Lithium Plating of Lithium-Ion Battery Based on Complex Morlet Wavelet Transform
Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs) and energy storage systems for their high energy density, high power density...
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IoT-Based Human Fall Detection Solution Using Morlet Wavelet
Human fall detection is a problem that needs to be addressed to decrease the significant number of elderly people being affected, disabled, or even...
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A Novel Design of Morlet Wavelet to Solve the Dynamics of Nervous Stomach Nonlinear Model
The present study introduces a novel design of Morlet wavelet neural network (MWNN) models to solve a class of a nonlinear nervous stomach system...
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The Double Synchroextracting and Complex Shifted Morlet Wavelet-Based Application for Bearing Faults Diagnosis Under Varying Speed
PurposeRolling element bearings commonly work under time-varying rotational speed. Most bearing fault diagnostic techniques are ineffective in...
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Early Fault Detection in Safety Critical Systems Using Complex Morlet Wavelet and Deep Learning
Automated Fault Detection and Diagnosis (FDD) plays an important role in health monitoring of safety critical systems. Typically, critical industrial...
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Multiscale Anisotropic Morlet Wavelet for Texture Classification of Interstitial Lung Diseases
Interpretation of various lung textures found in the interstitial lung disease (ILD) is essential for the assessment of the disease, and it...
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A Comprehensive Study on the Selection of Mother Wavelets and Mode Shapes for Multiple Damage Identification
The aim of this paper is to find the proper families and mother wavelets for a successful localization of multiple damages in beams. The...
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An Improved Fast Kurtogram Based on an Optimal Wavelet Coefficient for Wind Turbine Gear Fault Detection
Serious failures of wind turbine drive-trains occur in gear which plays an essential role. Owing to the complicated vibration signal of faulty gear...
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Die Wavelet-Transformation
Die Wavelet-Transformation wurde 1982 von Morlet et al. eingeführt, wobei die Anwendung in der Auswertung seismischer Messdaten bestand [20], [21]....
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Morlet Wavelet Threshold Based Glow Warm Optimized X-Means Clustering for Forest Fire Detection
Forest fire detection is a significant problem to be resolved for the prevention of life and property safety. Clustering performance of existing fire...
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Localisation of Automobile Door Rattle Noise Based on the Time Reversal Method
Abnormal noise is a key factor affecting automobile ride comfort, and the localisation of abnormal noise sources is critical for noise control....
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Research on Morlet Wavelet Based Lamb Wave Spatial Sampling Signal Optimization Method
In recent years, Lamb wave and piezoelectric transducers (PZTs) array based wavenumber filtering technique for damage estimation has been gradually...
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Modified remora optimization based matching pursuit with density peak clustering for localization of epileptic seizure onset zones
Epilepsy is a common neurological disorder in which the activity of brain becomes abnormal, causing sensation, loss of awareness, and periods of...
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Application of Wavelet Neural Network for Electric Field Estimation
Estimation of electric stress along the electrode and the insulator surfaces using wavelet neural networks (WNNs) has been carried out in this work....
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Fault Investigation of Rolling Element Bearing Using Vibration Signature Analysis and Artificial Neural Network
The bearing is the heart component of any revolving machine and is utilized in enormous applications like surgical machines to ship engines, etc. In...