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dc.contributor.authorAbuhamdia, Tariq Maysarahen_US
dc.date.accessioned2018-10-21T06:00:43Z
dc.date.available2018-10-21T06:00:43Z
dc.date.issued2017-04-28
dc.identifier.othervt_gsexam:10283en_US
dc.identifier.urihttp://hdl.handle.net/10919/85439
dc.description.abstractThis study introduces new families of wavelets. The first is directly derived from the response of Second Order Underdamped Linear-Time-Invariant (SOULTI) systems, while the second is a generalization of the first to the complex domain and is similar to the Laplace transform kernel function. The first takes the acronym of SOULTI wavelet, while the second is named the Laplace wavelet. The most important criteria for a function or signal to be a wavelet is the ability to recover the original signal back from its continuous wavelet transform. It is shown that it is possible to recover back the original signal once the SOULTI or the Laplace wavelet transform is applied to decompose the signal. It is found that both wavelet transforms satisfy linear differential equations called the reconstructing differential equations, which are closely related to the differential equations that produce the wavelets. The new wavelets can have well defined Time-Frequency resolutions, and they have useful properties; a direct relation between the scale and the frequency, unique transform formulas that can be easily obtained for most elementary signals such as unit step, sinusoids, polynomials, and decaying harmonic signals, and linear relations between the wavelet transform of signals and the wavelet transform of their derivatives and integrals. The defined wavelets are applied to system analysis applications. The new wavelets showed accurate instantaneous frequency identification and modal decomposition of LTI Multi-Degree of Freedom (MDOF) systems and it showed better results than the Short-time Fourier Transform (STFT) and the other harmonic wavelets used in time-frequency analysis. The modal decomposition is applied for modal parameters identification, and the properties of the Laplace and the SOULTI wavelet transforms allows analytical and accurate identification methods.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis item is protected by copyright and/or related rights. Some uses of this item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subject{Wavelets Analysisen_US
dc.subjectSecond Order Linear Time Invariant Waveletsen_US
dc.subjectSOULTIen_US
dc.subjectTime-Frequencyen_US
dc.subjectLaplace Waveletsen_US
dc.subjectSystem Identificationen_US
dc.subjectModal parameters Identificationen_US
dc.titleWavelets Based on Second Order Linear Time Invariant Systems, Theory and Applicationsen_US
dc.typeDissertationen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.description.degreePHDen_US
thesis.degree.namePHDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineMechanical Engineeringen_US
dc.contributor.committeechairTaheri, Saieden_US
dc.contributor.committeememberBurns, John Aen_US
dc.contributor.committeememberWoolsey, Craig A.en_US
dc.contributor.committeememberWicks, Alfred Len_US
dc.contributor.committeememberSandu, Corinaen_US
dc.contributor.committeememberStilwell, Daniel Jen_US


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