Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 46 for “"continuous wavelet transform"”.
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Applications of Continuous Wavelet Transform in Hydraulic Fracturing and Reservoir Management
This dissertation explores the application of Continuous Wavelet Transform (CWT) in fracture diagnostics and reservoir management, offering an in-depth analysis of various methods and their effectiveness. It addresses key aspects of hydraulic fracturing diagnostics, including fracture closure …
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Detecting Transient Changes in Gait Using Fractal Scaling of Gait Variability in Conjunction with Gaussian Continuous Wavelet Transform
… programs were developed that included Gaussian continuous wavelet transform (CWT) to determine spatiotemporal characteristics, detrended fluctuation analysis (DFA) to examine gait complexity and autocorrelation analyses (ACF) to assess gait regularity. Reliability was examined using repeated …
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The role of membrane potential dynamics in cell behaviours : investigating the membrane potential dynamics in the Jurkat and HMEC-1 cell lines using the continuous wavelet transform
… cell patch clamping technique coupled with the continuous wavelet transform (CWT) technique was used to investigate the presence of fluctuations and oscillations in the membrane potential of Jurkat cells and HMEC-1 cells. The underlying nature of the membrane potential dynamics of Jurkat cells …
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Extracting damping ratios using wavelets
… ratios is affected. Results show that the Continuous Wavelet Transform method gives the most accurate estimations even for data corrupted by the noise. The Complex Exponential method presents better results in the cases with higher modes and higher damping ratios without the noise. Wavelet …
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Filter-bank transforms with exact inverses
Uniformly sampled filter-bank transforms and their inverses are introduced and the conditions to obtain perfect reconstruction upon inversion are explored. It is shown that perfect reconstruction requires both filter addition and multiplication and the necessary and sufficient conditions for these …
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Multi-dimensional continuous wavelet transforms and generalized fourier transforms in Clifford analysis
… work covers three mathematical analysis domains: Continuous Wavelet Transform, Fourier Transform and Clifford Analysis, and consists of three parts in which these domains interact. The one-dimensional continuous wavelet transform (CWT) is a successful tool for signal and image analysis, with …
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Signal processing-based bioinfomatics methods for characterisation and identification of bio-functionalities of proteins
… (RRM), Informational Spectrum Method (ISM) and Continuous Wavelet Transform (CWT) are engaged. Two top-killer diseases, Human Immunodeficiency Virus (HIV) and Malaria are studied. In an attempt to denature the reported fairly unstable Surface Protein (HIV gp120) so as to deactivate HIV and …
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FEASIBILITY OF DETECTING AND CLASSIFYING SMALL UNMANNED AERIAL SYSTEM THREATS USING ACOUSTIC DATA
… and converted to a JPEG representation of the continuous wavelet transform. Then the data was used to train and evaluate the performance of AlexNet in detecting and classifying drones. This research will lay the foundation for addressing UAS detection using a combination of acoustic signatures …
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The Statistical Theory of Stationary Turbulence
… the theory of turbulence as well as that of wavelet transforms. The main contribution to the theory of turbulence is an extension of the von Karman-Howarth equation to turbulence that may be either two- or three-dimensional, and for which external forcing maintains the state of statistical …
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Fault detection in rotating machines by vibration signal processing techniques
… including synchronous time averaging, Hilbert transform-based demodulation, continuous wavelet transform, Wigner-Ville distribution and spectral correlation density function. The detection and the diagnostic capability of these techniques are discussed and compared on the basis of experimental …
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A machine learning approach to gait cycle classification for Rheo 3 low-end torque failure
… traditional machine learning algorithms and Continuous Wavelet Transform combined with a Convolutional Neural Network. The findings demonstrated that both approaches exhibit promising results, and accurately classify unseen patients with reasonable accuracy, thereby preventing potentially …
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Combined effects of prozac and hypothalmic mediated response on masseter muscle activity in the cat
… and late stimulation were calculated using the continuous wavelet transform. The effects of early stimulation of the medial hypothalamus upon response latencies were compared with those of the late stimulation. The results reveal an inhibitory effect that may be related to fatigue or other …
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Relationship between the autonomic nervous system and the recovering heart post exercise using heart rate variability
… using two different time-frequency methods; Continuous Wavelet Transform (CWT) and the Short Time Fourier Transform (STFT). A moderate relationship (R^2=0.5164) exists between the HF and the rate of recovery. Changes in the ANS throughout the experiment indicated a drop in both the LF and HF …
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Fiber Optic Sensors for Liquid Identifications
… signal was converted into image data using a continuous wavelet transform, and convolutional neural network (CNN) models were then applied to predict the liquid being tested based on the image data. Consequently, we developed a sensing system utilizing advanced data-driven techniques, such as …
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On the classification of time series and cross wavelet phase variance
The continuous wavelet transform (CWT) is arguably one of the best tools to explore underlying characteristic features of time series data. Its application in large time series classification experiments, however, has been severely limited due to the large amount of redundant associated …
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Wavelet Scattering Transforms Applied to Whale Vocalisations
… papers, we investigate the application of wavelet scattering transforms to whale vocalisations. We first consider how wavelet transforms can provide an alternative time-frequency decomposition for use in signal detectors. Detectors typically utilise the short-time Fourier transform (STFT), …
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Content based image pose manipulation
… proposes the application of space-frequency transformations to the domain of pose estimation in images. This idea is explored using the Wavelet Transform with illustrative applications in pose estimation for face images, and images of planar scenes. The approach is based on examining the …
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Wavelet analysis of ULF magnetospheric waves
<p>Wavelet analysis is used to analyze magnetometer data and is compared to the traditional spectrogram technique, in particular, with respect to structured Pc 1--2 emissions. This results in the conclusion that the frequency modulation evident in Pearl pulsations is not continuous, but is …
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Event detection in EEG signals for brain computer interface using expectation-maximation algorithm
… The features of EEG were extracted using continuous wavelet transform and the parameters of the models were estimated using an Expectation-Maximization (EM) algorithm. Maximum-likelihood estimates of the parameters of the rest EEG and EEG during motor actions were compared. Statistical …
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