Dieses Buch richtet sich an angewandte Mathematiker, Ingenieure und Naturwissenschaftler, die Computerprogramme zur Wavelet-Analysis (und hierzu verwandter Methoden) in der Signalverarbeitung reeller Daten entwickeln und einsetzen. Dem weniger an Anwendungen interessierten Leser dient das Buch als Einf�hrung in einige wesentliche Aspekte der Wavelet-Theorie; der akademische Lehrer kann es als Textbuch mit einer Darstellung aktuellster mathematischer Techniken in der transienten Signalanalysis einsetzen.Nach einem einf�hrenden Kapitel, das die erforderlichen mathematischen Hilfsmittel darstellt, behandelt der Autor die Eigenschaften von Wellenformen, die in der adaptiven Wavelet-Analysis Anwendung finden: Diskrete schnelle Fourier-Transformationen, orthogonale Funktionen mit �berlappendem Tr�ger. Weitere Kapitel diskutieren die Methode der "besten Basis", die Zeit-Frequenz-Analyse und Kombinationen dieser Algorithmen, die f�r die Analyse und Verarbeitung von Signalen, Rauschunterdr�ckung und Datenkompression n�tzlich sind.Jedes Kapitel geht auf die technischen Aspekte der Implementierung der behandelten Algorithmen ein, indem Beispiele von Pseudocodes eingestreut sind.

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Professor Dr. Mladen Victor Wickerhauser lehrt an der University in St. Louis, Missouri, USA.

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