Results 81 to 90 of about 17,540,816 (185)
IEEE AccessThis study proposes a new method for bearing Fault Detection and Diagnosis (FDD) in Belt Starter Generators (BSGs) using vibration signals. The Adapted Local Binary Pattern (ALBP) method is introduced, and its performance is compared to the conventional Local Binary Pattern (LBP) technique and a Convolutional Neural Network with Support Vector Machine (
Hosna Geraei +4 more
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The multiresolution Fourier transform : a general purpose tool for image analysis [PDF]
The extraction of meaningful features from an image forms an important area of image analysis. It enables the task of understanding visual information to be implemented in a coherent and well defined manner.
Calway, Andrew David
core
Random fractional Fourier transform : stochastic perturbations along the axis of propagation [PDF]
, 1999 The fractional Fourier transform (FRT) is known to be optically implementable with use of a medium with a perfect radial quadratic-index profile. Using the quantum-mechanical operator formalism, we examine the effects on the FRT action of such a medium
Abe, Sumiyoshi, Sheridan, John T.
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Vehicle Classification Using Electromagnetic Leakage Signals Based on Feature Fusion and Residual CNN [PDF]
Journal of Electromagnetic Engineering and ScienceWhile the classification of electromagnetic (EM) leakage signals from various electronic devices has been explored in recent research, the use of EM leakage signals from vehicles for classification tasks remains relatively underexplored.
Jonghwan Na, Bowon Lee
doaj +1 more source
, 2020 This research focuses on mapping hidden stratigraphic features on a 3D seismic data with approaches better than direct/commercial approach. Materials used in this research are seismic data, well logs, checkshot and base map of the study area.
Awolola, O. K., Ideozu, R.U.
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ASEAN Journal of Science and EngineeringThis study proposes a hybrid predictive maintenance framework that integrates the Kolmogorov-Arnold Network (KAN) with Short-Time Fourier Transform (STFT) for intelligent fault diagnosis in industrial rotating machinery. The method is designed to address challenges posed by non-linear and non-stationary vibration signals under varying operational ...
Jweri, Abdul-Rasool Kareem +6 more
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Study on denoising filter of underwater vehicle using DWT
Journal of Measurement Science and Instrumentation, 2013 In the step processing a digitalized signal,noises are generated by internal or external causes of the system.In order to eliminate these noises,various methods are researched.Among these noise elimination methods,Fourier fast transform（FFT）and short ...
Haneul Yoon +3 more
doaj
Annals of Geophysics, 1999 Among a variety of spectrogram methods Short-Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) were selected to analyse transients in non-stationary tremor signals.
D. Seidl, T. Bartosch
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Classification of infrasonic signals based on time-frequency representation
Frontiers in Signal ProcessingAccurate classification of infrasound signals is an important research topic in the fields of nuclear explosion monitoring and natural disaster early warning.
Hao Yin +8 more
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The Short Time Fourier Transform and Local Signals
, 2018 In this thesis, I examine the theoretical properties of the short time discrete Fourier transform (STFT). The STFT is obtained by applying the Fourier transform by a fixed-sized, moving window to input series.
Shuhei Okamura (5468981)
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