Wavelet analysis had its origins in the middle of eighties: from the very beginning, it was driven by application needs; the development and advancement of the theory came through the efforts of mathematicians with a variety of backgrounds and specialties, and of engineers and scientists with an eye for better solutions and models in their applications. In late 1970s, Jean Morlet, a french geophysical engineer, in order to find oil deposits via geoexploration, had to analyze the echos of signals; these seismic waves consisted of wide low-frequency areas and shorter timespanned high-frequency components. The classical Fourier and windowed Fourier analysis were lacking of tools to gain time-resolution ad hoc. Thus, he came up with the ingenious idea of using different window functions for analysing different frequency bands. He generated the transform blocks by compression and dilation in time of a given function, followed by translation: "wavelets" were born!
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Francesca Pedrazzoli, born in Modena on the 13th October 1992, got her Bachelor Degree in Mathematics, cum laude, in Modena in 2014. Afterwards, she moved to Turin to attend a Master in Mathematics and she graduated cum laude and mention in 2016, with a final dissertation on orthonormal wavelets and their applications.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pedrazzoli FrancescaFrancesca Pedrazzoli, born in Modena on the 13th October 1992, got her Bachelor Degree in Mathematics, cum laude, in Modena in 2014. Afterwards, she moved to Turin to attend a Master in Mathematics and she graduat. Codice articolo 151242322
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wavelet analysis had its origins in the middle of eighties: from the very beginning, it was driven by application needs; the development and advancement of the theory came through the efforts of mathematicians with a variety of backgrounds and specialties, and of engineers and scientists with an eye for better solutions and models in their applications. In late 1970s, Jean Morlet, a french geophysical engineer, in order to find oil deposits via geoexploration, had to analyze the echos of signals; these seismic waves consisted of wide low-frequency areas and shorter timespanned high-frequency components. The classical Fourier and windowed Fourier analysis were lacking of tools to gain time-resolution ad hoc. Thus, he came up with the ingenious idea of using different window functions for analysing different frequency bands. He generated the transform blocks by compression and dilation in time of a given function, followed by translation: 'wavelets' were born! 104 pp. Englisch. Codice articolo 9783330778351
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wavelet analysis had its origins in the middle of eighties: from the very beginning, it was driven by application needs; the development and advancement of the theory came through the efforts of mathematicians with a variety of backgrounds and specialties, and of engineers and scientists with an eye for better solutions and models in their applications. In late 1970s, Jean Morlet, a french geophysical engineer, in order to find oil deposits via geoexploration, had to analyze the echos of signals; these seismic waves consisted of wide low-frequency areas and shorter timespanned high-frequency components. The classical Fourier and windowed Fourier analysis were lacking of tools to gain time-resolution ad hoc. Thus, he came up with the ingenious idea of using different window functions for analysing different frequency bands. He generated the transform blocks by compression and dilation in time of a given function, followed by translation: 'wavelets' were born! Codice articolo 9783330778351
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock. Codice articolo 3330778350
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