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Suppression of seismic random noise by deep learning combined with stationary wavelet packet transform
Many traditional denoising methods, such as Gaussian filtering, tend to blur and lose details or edge information while reducing noise. The...
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Surface wave suppression through deformable convolutional wavelet transform network with residual dense blocks
Surface wave suppression plays a vital role in enhancing the quality of reflection seismic exploration. Convolutional neural networks (CNNs) can...
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WTCRNet: a wavelet transform and contrastive regularization network for sonar denoising by self-supervision
In the field of underwater acoustics, forward-looking sonar represents a pivotal tool for acquiring subaqueous imagery. However, this technique is...
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Semi-automated Rock Layer Recognition from Borehole Log Data Using Combined Wavelet and Fourier Transform: A Case Study in the KG basin, India
The accurate identification of rock layer interfaces from wireline logs is one of the crucial issue of geological interpretation as we face...
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Analysis of Cosmic Ray Fluxes at Different Stations during Geomagnetic Storms using Wavelet Based Approaches: Continuous Wavelet Transform and Multi-Resolution Analysis
AbstractThis study investigated the impact of different types of geomagnetic storms on cosmic ray fluxes at different stations using various...
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Ultra-short-term wind speed prediction based on empirical wavelet transform and combined model
Due to the variability, proneness to outside influences, and constantly fluctuating nature of ultra-short-term wind speed sequences, wind speed...
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The Continuous Wavelet Transform
The wavelet transform was designed to estimate the power spectra of non-stationary signals, that is, those whose frequency content varies over time...
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Recognition Method of Coal–Rock Reflection Spectrum Using Wavelet Scattering Transform and Bidirectional Long–Short-Term Memory
Classifying and recognizing the reflection spectrum of coal–rock is an innovative method for coal–rock identification in coal mining process. Herein,...
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Deformation evaluation and displacement forecasting of baishuihe landslide after stabilization based on continuous wavelet transform and deep learning
Baishuihe Landslide is a large active landslide that threatens ship** transportation in the Three Gorges Reservoir (China). A manual monitoring...
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Application of a Continuous Wavelet Transform to Study Planetary Waves
AbstractIn this paper, we show a method for using the continuous Morlet wavelet transform in studying the variability of atmospheric migrating and...
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Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform
Recent meteorological, hydrological, and agricultural droughts in the Mediterranean regions have raised concerns about the impact of climate change....
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A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
Develo** precise groundwater level (GWL) forecast models is essential for the optimal usage of limited groundwater resources and sustainable...
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Gravity data fusion using wavelet transform and window weighting: a case study in the Ross Sea of Antarctica
Satellite gravity anomaly data are characterized with wide coverage and high overall normalized quality, and these data can be used in large-scale...
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Continuous Wavelet Transform and Dynamic Time War**-Based Fine Division and Correlation of Glutenite Sedimentary Cycles
Glutenite reservoirs are characterized by strong heterogeneity, large thickness, complex rock fabric, and low maturity in terms of structure and...
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Analysis and synthesis of East Himalayan earthquakes using a hybrid wavelet synchrosqueezed transform
The work presented in paper is focussed on the development of an accurate time-frequency representation of accelerograms, representing the seismic...
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A Method to Extract Image Features and Lineaments Based on a Multi-hillshade Continuous Wavelet Transform
This paper presents a new method for extracting the image features and lineaments related to local extrema of an image or a digital elevation model...
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Improved Treatment of Model Prediction Uncertainty: Estimating Rainfall using Discrete Wavelet Transform and Principal Component Analysis
It is necessary to select appropriate rainfall series as input to the hydrologic model to access more accurate hydrologic predictions and estimate...
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Statistical and Wavelet Transform-Based Study of the Latitudinal Ionospheric Response to an Annular Solar Eclipse on June 21, 2020
AbstractThe ionosphere is a very complex and variable part of the atmosphere and it is controlled by solar activity. A solar eclipse is one of the...
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Seasonal analysis of long-term (1970–2020) rainfall variability using clustering and wavelet transform approach in the Mahi River Basin, India
Understanding the trend of seasonal rainfall in the context of climate change is crucial for the maintenance of regional water resources management....
