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Image texture characterization using the discrete orthonormal S-transform
We present a new efficient approach for characterizing image texture based on a recently
published discrete, orthonormal space-frequency transform known as the DOST. We …
published discrete, orthonormal space-frequency transform known as the DOST. We …
Hybrid seismic denoising using higher‐order statistics and improved wavelet block thresholding
We introduce a nondiagonal seismic denoising method based on the continuous wavelet
transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively …
transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively …
Detection and classification of power quality disturbances using GWO ELM
Many industies have equipments sensitive to bad power quality that affects their production
and product quality. Therefore, it is important to automatically monitor the quality of power …
and product quality. Therefore, it is important to automatically monitor the quality of power …
Fractional S-transform and its properties: a comprehensive survey
In time–frequency analysis, generalization of S-transform (ST) is known as fractional S-
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …
Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data
Recorded seismic signals are often corrupted by noise. We have developed an automatic
noise-attenuation method for single-channel seismic data, based upon high-resolution time …
noise-attenuation method for single-channel seismic data, based upon high-resolution time …
Adaptive noise estimation and suppression for improving microseismic event detection
Microseismic data recorded by surface arrays are often strongly contaminated by unwanted
noise. This background noise makes the detection of small magnitude events difficult. A …
noise. This background noise makes the detection of small magnitude events difficult. A …
Frequency‐dependent phase coherence for noise suppression in seismic array data
We introduce a coherence measure for seismic signal enhancement through incoherent
noise attenuation. Our processing tool is designed for densely spaced arrays and identifies …
noise attenuation. Our processing tool is designed for densely spaced arrays and identifies …
Ground roll attenuation using the S and x‐f‐k transforms
Ground roll, which is characterized by low frequency and high amplitude, is an old seismic
data processing problem in land‐based seismic acquisition. Common techniques for ground …
data processing problem in land‐based seismic acquisition. Common techniques for ground …
The inverse S-transform in filters with time-frequency localization
The S-transform provides a framework for data-adaptive filters which take advantage of time-
frequency localized spectra. These filters basically consist in a data transformation to the …
frequency localized spectra. These filters basically consist in a data transformation to the …
Denoising of Seismograms Using the S Transform
The growing number of urban seismological experiments within the framework of seismic
hazard studies has increased the necessity of effective tools for denoising seismograms …
hazard studies has increased the necessity of effective tools for denoising seismograms …